An authentic yet lighthearted take on the world of medicines and healthcare in the UK
Sept. 24, 2026

9.1 Learning from the Dead, with Dr Caroline Copeland

9.1 Learning from the Dead, with Dr Caroline Copeland
9.1 Learning from the Dead, with Dr Caroline Copeland
The Aural Apothecary
9.1 Learning from the Dead, with Dr Caroline Copeland

We talk about the people behind the statistics, role of coroners ,toxicology, deprivation & stigma of substance misuse, & why details recorded after death matter for preventing others

A chance lunchtime conversation changed Dr Caroline Copeland’s career. Newly arrived at St George’s as a pharmacologist, she discovered an old file. Two decades of coroners’ reports were sitting in paper files. Caroline saw what could be learned from them and changed direction to help keep the programme alive. The rest, as they say, is history.

Today Caroline is Senior Lecturer in Pharmacology and Toxicology at King’s College London and Director of the National Programme on Substance Use Mortality. We talk about the people behind the statistics, the role of coroners and toxicology, deprivation and stigma, and why the details recorded after a death matter for preventing the next one. The conversation takes us from naloxone delivered by drone to the changing illicit drug supply and the difficulty of detecting Nitazenes after death.

Our micro discussion continues the theme and explores Caroline’s research suggesting that opioid-related deaths in England and Wales have been substantially underestimated. Why does this matter and what can we do about it? https://www.sciencedirect.com/science/article/pii/S0955395925002725?via%3Dihub

As ever, Caroline shares a memory-evoking medicine, a career anthem and a book. As ever, it is the stories behind the choices that we love. In the Final Ingredient, Gimmo tells the story of Bixonimania: a fictional illness that found its way into confident AI answers. A reminder to check the source, however convincing the wording.

Mentioned in this episode

Follow The Aural Apothecary on LinkedIn and find more episodes at theauralapothecary.com. We are on Instagram @auralapothecary.

From Prescription to Ocean — A TEDx Talk by Jamie HayesWe’re incredibly proud to share that Aural Apothecary co-host Jamie Hayes has taken to the TEDx stage with a thought-provoking talk: Prescription to Ocean: The Hidden Impact of Medicines https://www.youtube.com/watch?v=swCLNaAG5qY

Jamie explores a fascinating and urgent question: What happens to our medicines once they leave the prescription pad — and how do they impact the world beyond the patient? It’s a journey that connects healthcare, the environment, and our shared responsibility for the future. You’ll never think about prescribing (or taking) medicines in quite the same way again. Please take a few minutes to watch, reflect, and share — this is a conversation worth having.

WEBVTT

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Welcome to the Oral Apothecary Podcast, authentic chat about medicines,

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pharmacy and healthcare in the UK.

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Pharmacists Jamie, Gimo and STC take on topical and controversial

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stories but keep it edgy yet light-hearted.

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Podcasts share their career-defining drug, song and book and also

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share their joyful patient stories.

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Welcome to the Oral Apothecary Podcast. It's Series 9. My

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name is Jamie Hayes. For this episode, we're joined by Dr.

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Caroline Copeland. Caroline is a senior lecturer in pharmacology at

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King's College London. Her work focuses on drug-related deaths across

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the UK. We'll welcome Caroline in a moment as she

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shares a drug for our formerie, her career anthem, and

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recommends a book for the Oral Apothecary Library. Our micro-discussion

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this week will be informed by a paper from the

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International Journal of Drug Policy looking at the data on

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opiate-related deaths in England and Wales. But first, let me

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welcome my two fellow apothecaries. STC is in Bournemouth and

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Gimmo is in Cardiff.

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Welcome both. Welcome, evening.

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Yep.

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Series 9.

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Here we are. Very happy to be back for Series 9, yeah.

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We're never quite sure when we finish the previous series

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whether we're going to make it to another one, but

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we have, so well done us.

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Great series lined up.

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It is.

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Lots of guests already pre-booked. The listener might be interested

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to know, but we're not going to tell you who

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they are.

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It's a surprise.

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Wait and see. What have you been up to over

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the summer?

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It's been warm, hasn't it?

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Super hot, yeah.

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So for context, if some people are listening in the future,

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it was a hot summer, record breaker, it's a heat wave,

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and the world's going to end because of AI. So

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AI was a little baby when we started this podcast,

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and we've charted this journey, and we may well find

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ourselves doing the last series when the world's ended because

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of it. But I suppose my main news, Harry, my son,

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graduated with a first in law, so that's That's big

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news for us. So congratulations, Harry.

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Congratulations, Harry.

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Very good. I don't have any students anymore in my family.

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But going back to your AI point, Gimo. Yes, I've

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been trying to be my curious pragmatist self. And I've

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been trying to follow and use some large language models

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where I can. But can't help but being dragged back to, hmm,

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we do need to use the guardrails here, don't we?

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And what came out this week, which was the National

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Commission into AI Regulation in Healthcare. And in fact, one

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of the authors, Professor Henrietta Hughes, who's also the Commissioner

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for Patient Safety, is one of the guests at the

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Royal College of Pharmacy conference, which we are attending, are

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we not? So that will be good. And I thought

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that it's good. And what I really liked, actually, was

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that the new president of the Royal College of Pharmacy

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actually had a good quote. And it said, for pharmacy

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and medicines, it is essential that AI supports rather than

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replaces professional judgment with patients at the center of how

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it is used. We look forward to working with our

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members and partners to ensure AI is adopted safely, effectively,

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responsibly across pharmacy and healthcare. And I obviously agree with that,

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but it was slightly contrary to the overall commission's vision on,

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I think it's page eight of the document, and it

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looks at safe, fast, and trusted, but fast comes at

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the top, And therefore, to my mind, looks like it's

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saying that it's more important than safe and trusted. But

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that might just be the way I'm reading it. But anyway,

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keeping my watch on AI anyway. James?

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Public workshops continue through the summer, which was great. As

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Gimo said, it was a scorcher. And so I think

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some of the workshops went ahead when they perhaps shouldn't, actually.

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It was probably a patient safety incident. asking a load

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of over 50s and over 60s to congregate in a

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local village hall or a rugby club, but they went well.

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And just as we finished Series 8, I gave the

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keynote at the 10-year celebration of realistic medicine in Glasgow.

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So that was a great conference. And the first half

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of the conference in particular was all about culture and

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the arts and the role that they have in improving healthcare.

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And it was a great day.

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And so that was.

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That was that. Okay, let's move on. Our great pleasure

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to welcome Dr. Caroline Copeland to the Oral Apothecary. Caroline

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is a senior lecturer in pharmacology and toxicology at King's

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College London and director of the National Programme on Substance

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Use Mortality. Her research sits at the intersection of pharmacology,

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toxicology and public health, exploring what real-world patterns of drug

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use can tell us about medicine safety and emerging harms.

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Using mortality and toxicological data, she investigates everything from prescription

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and over-the-counter medicines, to novel psychoactive substances and illicit drugs,

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including the often overlooked interactions between them. She also works

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closely with national and international drug policy and surveillance organisations

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to help translate evidence from drug-related deaths into practice and policy.

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Welcome to the podcast, Caroline.

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Thanks very much.

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So.

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If we bumped into you in a pub, a coffee

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shop or indeed a conference in Oxford, what would that

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conversation look like? Tell us about what was the title

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of your session at Oxford? First of all, Caroline, can

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you remember?

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Oh, goodness.

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No.

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Now you're asking me. I submitted something that I hoped

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would be picked. And it was.

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It was eye-catching. I think it was something along the

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lines of learning from death.

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I think, yes, it definitely mentioned death because I think

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we started calling.

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You the death cop.

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It was learning from the dead.

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Learning from the dead. There we are. You're absolutely right.

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We've just got our title.

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Yeah.

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Learning from the dead. So Steve and I bumped into you.

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We were fascinated by, this was before you did your

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talk as well, Caroline, I think we just bumped into you.

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And so tell us about your work, the National Programme

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on Substance Use Mortality and what you get involved in.

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Yeah, so, uh, it's, well, it's been a bit of

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an interesting story to ending up at that conference in Oxford, really. So, uh,

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I'm actually originally a basic pharmacologist, laboratory scientist who did, um,

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all sorts of different experimental techniques. And, uh, it was

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during my first lectureship at St George's medical school that

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I had a new job. It was my first lecture,

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lecturing position. I was very excited. And this woman came

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into my office and said, you're not Colin. To which

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I had to say, no, I'm not Colin.

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Not from accounts either. You weren't from accounts either.

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No, I had to tell her that I had Colin's

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job from Colin's office because he'd left quite quickly for

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another university. And she said, oh, sometimes I have lunch

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with him. And then she went, well, you knew, so

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you won't have anyone to have lunch with. So let's

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have lunch. I couldn't really argue with this chain of thoughts.

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So I said, right, yeah, cool. Let's have lunch. And

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she told me in this conversation that she was the

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point two FT admin assistant essentially left working on this

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drug deaths database. The chap who had founded it died

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suddenly five or six years prior and nobody had taken

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it on and it was going to close. And the

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more I learned about it and heard her speak, I

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was like, this can't shut. Like this is too much

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of a shame. And so I pivoted entirely from neuronal

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network sensory pharmacology to the pharmaco-epidemiology of drug deaths. And

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here we are, however many years it is later, I

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started doing this in, I think that was 2018. So yeah,

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so coming up for eight years now, rescuing this database,

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promoting it, using the data and learning.

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From the dead.

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So what was it about the database that struck you

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as important?

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So the database was started in 1997. So even by 2017,

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there was 20 years worth of drug death data that

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was being routinely reported by coroners. And it wasn't digitised.

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It was all paper-based records in a filing cabinet. And

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I just thought that it would be a massive shame

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for all this data that could be used to evidence

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better drug policy and prevent future deaths from happening and

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I just thought it was a massive shame that it

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would otherwise just go to waste and drugs are interesting

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you know drugs are cool as well so you know

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you have that aspect of it that I was interested

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in getting into and yeah it's such an amazing resource

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and I think another aspect of it is that if

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you meet me at a conference in Oxford dressed quite nicely,

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you'll see a fairly well-spoken white woman who I like

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to think of myself as well-dressed, but it really depends

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upon the day, I suppose. But actually, both of my

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parents grew up on council estates. Neither of them went

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to university. And they worked really, really hard to make

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sure that me and my brother weren't exposed to the

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childhoods that they had, essentially. And I know that I

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am just one generation away from living in a deprived

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area of the UK and exposed to social housing and

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all the problems that come with that. And reading about

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all these people that did live those lives and weren't

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offered the opportunities that me and my brother were, that's

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part of my motivation for working on this as well,

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is to try and afford better opportunities to those that

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weren't as lucky.

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As I was.

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Thanks Grant.

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Just for the listener, it sounds as though, what is

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the name of your two-year-old who's making his debut on podcast?

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Oh, sorry. Yes, it's little Eugene, just Gene we call him.

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He is in the room next door having a bath.

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So if you can hear some splashing like a washing machine.

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I apologise for that.

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I can hear laughing, he's loving it by the sounds

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of it.

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Yeah, bath time with Daddy, so yeah, always chaos.

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So Carly, you mentioned the database. For the lay listener,

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very simply, what is the database? How does it work

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and what's it involved in?

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So any death... uh, due to psychoactive drug use. So

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that's drugs that act on the brain, uh, gets reported

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to us by the coroner that presided over the inquest of,

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of that person's life and death. Uh, so that the

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deaths that happen can be due to illicit drug use.

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So things like heroin or MDMA or ecstasy, uh, but

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also licensed medicines. So things like fentanyl and, uh, pregabalin

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people might have heard of, diazepam, which is marketed as Valium.

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So any deaths due to those substances. And so there's

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a huge range of things that we can do with

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that data. So broadly, the aim of the work that

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we do is to try and evaluate current drug policy

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and suggest how we can make it better and propose

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new drug policy. We can... survey the illicit drug market

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for emerging substances and new substances that haven't appeared yet,

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usually quite dangerous substances as well. So that's one of

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the things that we do and we report those new

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notifications to national and international agencies that might not have

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come across them before. We also work with public health

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teams about potentially new innovative things that could be done.

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We're currently working on a project of delivering naloxone, which

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is an antidote for opioid overdose by drone, because the

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modelling suggests that the drone will get to a lot

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of these overdoses much more quickly than an ambulance would. So, yeah,

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so some interesting public health interventions. And then the policy

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thing as well. And, yeah, drug policy is a difficult

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fish to fry.

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Caroline, in preparation for the podcast, we I think we've

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all listened to the BBC Inside Health, Can We Reverse

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Rising Drug Deaths? And really going back to your original

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point about your motivation to get involved, it was a

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fascinating conversation, including a GP who had previously been an

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addict on that Inside Health document. And so as you

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kind of alluded to in talking about the social and

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economic deprivation and the stigma attached to addicts, And maybe

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we'll come on to this. But like you say, if

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we don't shine a light on the numbers and the severity,

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then that potentially stops further investment, doesn't it, in relation

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to public health and things. And it was just such

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a fascinating episode, I think, in relation to, and I

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remember this, the GP, who previously was an addict, saying that,

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you know, it's hard for health professionals to sometimes to

242
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show compassion to addicts, but that actually on a human level,

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you know, each death needs to be considered, doesn't it?

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And so I suppose, again, that partly drives on what

245
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you're trying to do there is shining a light on

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these things.

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I think for a lot of people who haven't ever

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used drugs themselves or know someone close to them who

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uses drugs, that for those people who are using drugs dependently,

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they have to use those drugs. It's not a choice.

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It's not A recreational, oh, let's have fun tonight, you know,

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pop a tab whilst we're dancing in Ministry of Sound

253
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or whatever. And it's that dependent drug use, which is

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the problematic drug use. And those are the people that

255
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need the most help. Often they've started using drugs to

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escape some horrible reality or traumatic experience. And it's then

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just become more entrenched since then. And in terms of

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stopping drug use in the UK and anywhere, I think

259
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we have to realise that there are some people that

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will take drugs because they like them and that's just

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00:14:25.590 --> 00:14:29.789
going to happen anyway. I am an absolute lover of coffee.

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That's a drug that's psychoactive. It keeps me awake. It

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just happens to be a legal one. But it's the

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drug use that affects people negatively. their relationships, their ability

265
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to work, their ability to function that need the most help.

266
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And unfortunately, that population of people aren't a particularly attractive

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bunch for taxpayers to see their money being spent on.

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00:14:57.620 --> 00:14:57.879
Yeah.

269
00:14:58.409 --> 00:15:00.600
I mean, the other thing that I did was I

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decided to read Matthew Perry's autobiography that was recommended by

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a previous guest, Sally Neith, episode 6.3, if you're catching up.

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And like you said, his story is incredible. If you've

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never read a story about somebody who openly says that

274
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they're an addict, it is incredible. Like it's totally, you know,

275
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I've been a health professional for 35 years. Of course,

276
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I've dealt with addicts. But actually, I've never in any

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great depth listened to or read, in this case, just

278
00:15:32.779 --> 00:15:35.639
all the things that he did to feed his addiction.

279
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And going back to the GP who was on the

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inside health He said that they are addicts, they are

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at dis-ease. And he was saying you need to treat

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it like a disease because they are at dis-ease. And

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it was incredible, the Matthew Perry story about how you

284
00:15:51.250 --> 00:15:53.700
might know this, that he ended up after a jet

285
00:15:54.200 --> 00:15:57.419
ski accident, he ended up on Vicodin, which is an

286
00:15:57.679 --> 00:16:02.879
American version of essentially paracetamol and a type of opiate

287
00:16:02.899 --> 00:16:05.870
that we don't have in this country called hydrocodone. but

288
00:16:05.909 --> 00:16:09.070
he constantly talks about that. At times he was taking, well,

289
00:16:09.289 --> 00:16:13.149
he says he was taking 55 tablets a day. Well,

290
00:16:13.539 --> 00:16:16.419
I worked that out and that's 16 and a half

291
00:16:16.480 --> 00:16:18.879
grams of paracetamol a day. So I'm not sure whether

292
00:16:18.899 --> 00:16:21.340
he really was on 55, but maybe he lost count

293
00:16:21.860 --> 00:16:24.340
after a certain time. But the point was, and he

294
00:16:24.379 --> 00:16:28.230
was also on at times 14 milligrams of lorazepam, otherwise

295
00:16:28.289 --> 00:16:31.289
known as Ativan, which is equivalent to 140 milligrams of diazepam.

296
00:16:33.580 --> 00:16:37.840
And he was making Friends, you know, the episodes of Friends.

297
00:16:38.259 --> 00:16:41.120
It was incredible that he was still going and all

298
00:16:41.159 --> 00:16:45.809
the things that he did to hoodwink genuine health professionals,

299
00:16:45.850 --> 00:16:48.629
not people he had on speed dial who were dodgy

300
00:16:48.970 --> 00:16:51.990
and could get him things, but actual genuine health professionals

301
00:16:52.049 --> 00:16:54.190
and how he hoodwinked them into saying he was in

302
00:16:54.490 --> 00:16:56.960
much more pain. That was a real, real window for

303
00:16:57.000 --> 00:16:58.700
me in relation to the life of an addict.

304
00:16:58.879 --> 00:17:02.149
Well, I mean, the doses that you're describing there, I

305
00:17:02.169 --> 00:17:05.130
would agree with you that I would question his liver

306
00:17:05.150 --> 00:17:08.029
function at that point with that much paracetamol on a

307
00:17:08.049 --> 00:17:11.269
daily basis. But in terms of things like that level

308
00:17:11.329 --> 00:17:15.069
of diazepam, oh gosh, I can hear the bath has

309
00:17:15.089 --> 00:17:22.450
just ended. In terms of that much diazepam, there are

310
00:17:22.470 --> 00:17:26.269
certain drugs that when you take them regularly, what he

311
00:17:26.309 --> 00:17:28.470
gets used to them a bit like alcohol for some

312
00:17:28.490 --> 00:17:31.869
people and so in order to achieve the same effect

313
00:17:32.150 --> 00:17:34.380
you have to take more and more and more and

314
00:17:34.410 --> 00:17:37.390
next time it's then even more that you're taking so

315
00:17:37.410 --> 00:17:40.119
you know i'm not surprised that he was able to

316
00:17:40.140 --> 00:17:42.920
you know tolerate and function at that such high levels

317
00:17:43.039 --> 00:17:44.680
of flurazepam.

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00:17:44.240 --> 00:17:46.920
Thing is is you hear about matthew perry don't you

319
00:17:46.960 --> 00:17:49.799
because he's he's famous and and was it was it

320
00:17:49.839 --> 00:17:52.740
ketamine he he overdosed on in the end and and

321
00:17:52.779 --> 00:17:55.359
i think So you hear those stories, don't you? But

322
00:17:55.400 --> 00:18:00.460
looking at your research, Caroline, it's a common cause of death,

323
00:18:00.539 --> 00:18:03.660
isn't it? You know, once you strip out natural causes,

324
00:18:03.700 --> 00:18:05.519
it must be up there with one of the sort

325
00:18:05.539 --> 00:18:07.200
of highest sort of.

326
00:18:07.259 --> 00:18:11.410
Yeah, so I don't think we've quite got there in

327
00:18:11.430 --> 00:18:13.150
the UK. I don't think we particularly want to get there.

328
00:18:13.490 --> 00:18:17.210
But I believe that drug overdose a few years ago

329
00:18:17.569 --> 00:18:21.470
surpassed suicide as the biggest killer of under 40s in

330
00:18:21.490 --> 00:18:25.670
the USA. the number of accidental drug overdoses that are happening.

331
00:18:25.910 --> 00:18:30.299
When you're defining drug overdose, you're meaning taking too much

332
00:18:30.339 --> 00:18:32.700
of a drug as opposed to deliberately taking a drug

333
00:18:33.059 --> 00:18:36.299
to take your own life, isn't it? That's what happens.

334
00:18:36.660 --> 00:18:38.880
So we do, so the database that I work on,

335
00:18:38.920 --> 00:18:43.940
we do take any death following drug use, irrespective of intent.

336
00:18:44.480 --> 00:18:47.420
So we do and have done and are doing some

337
00:18:47.440 --> 00:18:50.769
work in terms of suicide prevention, but we treat, you know,

338
00:18:51.269 --> 00:18:53.660
accidental overdoses as unintentional deaths.

339
00:18:54.190 --> 00:18:58.690
Can you join some dots for me then, Caroline? Somebody dies,

340
00:18:58.710 --> 00:19:03.730
where does the corona preventing future death reports fit into that?

341
00:19:04.150 --> 00:19:06.190
And then I think it's a colleague of yours and

342
00:19:06.990 --> 00:19:10.250
it's the preventable deaths tracker. Where does all that sort

343
00:19:10.289 --> 00:19:11.769
of fit together in our world?

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00:19:12.809 --> 00:19:17.410
So when somebody dies, if their death is deemed to

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00:19:17.470 --> 00:19:22.430
be unnatural or unexpected, that's when they're referred to a coroner.

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00:19:23.170 --> 00:19:26.450
So I think if you've seen a healthcare professional within

347
00:19:26.710 --> 00:19:29.430
two weeks of your death and you've been fairly unwell,

348
00:19:29.490 --> 00:19:31.740
your death can be treated as expected and you're not

349
00:19:31.779 --> 00:19:35.380
going to be referred up. Then a coroner, if you

350
00:19:35.400 --> 00:19:37.619
get to the coroner's desk, will make an assessment as

351
00:19:37.660 --> 00:19:40.700
to whether or not they will need to proceed with

352
00:19:40.720 --> 00:19:44.930
an inquest. A post-mortem will be ordered depending upon the

353
00:19:44.970 --> 00:19:48.890
circumstances of the death. Toxicology will be taken, but not

354
00:19:49.029 --> 00:19:55.049
all deaths have toxicology. taken. And then the toxicology is

355
00:19:55.190 --> 00:19:59.750
tested for. In terms of which drugs are tested for,

356
00:19:59.789 --> 00:20:03.650
there's a common library of drugs which deaths are screened for,

357
00:20:04.309 --> 00:20:07.880
but the the novel drugs, I think you've mentioned some

358
00:20:07.900 --> 00:20:12.660
of the nitizines, which are these synthetic opioids, synthetic cannabinoids

359
00:20:12.700 --> 00:20:15.640
we have as well, now you're finding counterfeit vapes. And

360
00:20:15.680 --> 00:20:19.720
they aren't tested for in every death. They're only tested

361
00:20:19.740 --> 00:20:22.160
for usually if they're suspected that the person might have

362
00:20:22.180 --> 00:20:25.200
been using those drugs. And it's at that point that

363
00:20:25.259 --> 00:20:29.960
then the toxicologist feeds back any detections and interpretations to

364
00:20:29.980 --> 00:20:32.900
the pathologist who did the post-mortem. And then the pathologist

365
00:20:32.980 --> 00:20:37.920
sends their diagnosis anatomical findings report together with the tox

366
00:20:37.960 --> 00:20:41.240
report to the coroner. The coroner then, depending again upon

367
00:20:41.279 --> 00:20:44.599
the circumstance of death, will have things like a police report,

368
00:20:44.779 --> 00:20:51.099
maybe recent contact with healthcare, maybe some social care support

369
00:20:51.140 --> 00:20:54.180
if that was involved. And they will hold an inquest

370
00:20:54.339 --> 00:20:57.680
and determine the cause of death that happened. And it's

371
00:20:57.700 --> 00:21:00.509
at that point that if a drug was involved, a

372
00:21:00.630 --> 00:21:05.900
psychoactive drug, they will report to us a bundle of

373
00:21:06.319 --> 00:21:09.460
notes about that death, which we then collate and analyse

374
00:21:09.599 --> 00:21:12.420
together with all the others that we receive. But the

375
00:21:12.500 --> 00:21:16.759
deaths only have what's known as a prevention of future

376
00:21:16.819 --> 00:21:23.130
deaths report written if the coroner feels that that death

377
00:21:23.190 --> 00:21:25.809
could have been prevented if certain action had been taken.

378
00:21:26.390 --> 00:21:29.230
And the idea of a PFD, is there no prevention

379
00:21:29.250 --> 00:21:33.029
of future death report, is for the coroner to write

380
00:21:33.069 --> 00:21:38.089
specifically to the organisations that they feel need to action

381
00:21:38.690 --> 00:21:41.970
in order for those such deaths to be prevented from

382
00:21:41.990 --> 00:21:45.769
happening in the future and what my colleague Georgia does

383
00:21:45.809 --> 00:21:49.670
is she collects all these PFDs together so I think

384
00:21:49.950 --> 00:21:53.769
PFDs about a third of them are related to drug

385
00:21:53.869 --> 00:21:56.410
use but a good two-thirds are due to other things

386
00:21:56.470 --> 00:22:00.930
such as the um One famous case, which you probably

387
00:22:00.950 --> 00:22:03.579
will remember, is there was a young girl who ate

388
00:22:03.680 --> 00:22:07.480
a baguette at Pret that was freshly prepared on site.

389
00:22:07.960 --> 00:22:09.619
And there was a rule at the time that freshly

390
00:22:09.660 --> 00:22:12.299
prepared food, you didn't have to list the ingredients on them.

391
00:22:12.799 --> 00:22:15.150
And she had a nut allergy or a sesame allergy,

392
00:22:15.269 --> 00:22:18.490
and she had an anaphylactic reaction and died. So PFD

393
00:22:18.509 --> 00:22:22.109
was written about that anaphylaxis case, you know, maternal death cases,

394
00:22:22.150 --> 00:22:24.190
things like that, all had PFDs written as well.

395
00:22:24.490 --> 00:22:26.619
I guess we might come back to the coroner's bit

396
00:22:26.650 --> 00:22:29.509
when we do the micro discussion, but I don't think

397
00:22:29.529 --> 00:22:31.250
we can let you go before we move on to

398
00:22:31.369 --> 00:22:34.970
ask you to explain to our listeners about nitazines. And again,

399
00:22:35.089 --> 00:22:37.710
we'll put the link in the show notes, the other

400
00:22:37.809 --> 00:22:41.609
podcast that we listen to called The Drug Detectives. But again, fascinating.

401
00:22:41.650 --> 00:22:44.869
Would you want to just explain to the listener nitazines,

402
00:22:44.930 --> 00:22:47.630
what they are and why they're such a problem?

403
00:22:48.170 --> 00:22:51.380
I will try and give you a quick rundown of them.

404
00:22:51.440 --> 00:22:57.559
So nitazines are a type of synthetic opioid that appeared.

405
00:22:59.069 --> 00:23:03.259
More widely on the illicit drug market particularly as adulterants

406
00:23:03.279 --> 00:23:07.299
to heroin and also counterfeit valium tablets in large numbers

407
00:23:07.339 --> 00:23:12.539
in summer 2023 and this was in response we think

408
00:23:13.079 --> 00:23:17.930
to the drug gangs in europe not being quite sure

409
00:23:17.970 --> 00:23:20.509
where they were going to get their heroin from so

410
00:23:20.809 --> 00:23:22.430
in 2021.

411
00:23:22.190 --> 00:23:24.509
This was after the afghanistan war yeah is that right

412
00:23:24.549 --> 00:23:25.230
sorry so.

413
00:23:25.109 --> 00:23:28.920
When yeah so when um the Taliban returned to power

414
00:23:28.960 --> 00:23:32.160
in Afghanistan. One of the first things that they did

415
00:23:32.240 --> 00:23:39.420
was to ban opium poppy planting and harvesting. And Europe

416
00:23:39.500 --> 00:23:43.509
and the UK got most of its heroin from Afghanistan.

417
00:23:44.069 --> 00:23:45.950
And some listeners might be thinking, well, hang on a

418
00:23:46.029 --> 00:23:49.789
second for the previous 20 years, who was in charge

419
00:23:49.829 --> 00:23:52.869
in Afghanistan and let poppy planting happen? Anyway, that's a

420
00:23:52.890 --> 00:23:56.059
different topic for a different time. But when the Taliban

421
00:23:56.539 --> 00:24:00.059
came back, they said no more poppy. And the drug

422
00:24:00.079 --> 00:24:02.440
gangs in Europe were probably going, Christ, what are we

423
00:24:02.460 --> 00:24:04.259
going to do? We've got lots of customer base and

424
00:24:04.279 --> 00:24:07.259
we like making money. And you might think, well, why

425
00:24:07.279 --> 00:24:10.279
haven't we got fentanyl then? And they probably thought the

426
00:24:10.319 --> 00:24:14.269
same thing. But a lot of the illicitly produced fentanyl

427
00:24:14.309 --> 00:24:18.950
and fentanyl precursors go to the US via Mexico. And

428
00:24:19.150 --> 00:24:23.049
the Mexican cartels essentially have a monopoly on fentanyl. fentanyl

429
00:24:23.089 --> 00:24:25.650
and its precursors. And I think the European drug gangs

430
00:24:25.910 --> 00:24:29.420
realized that going into business competition with the Sinaloa cartel

431
00:24:29.859 --> 00:24:32.019
was probably a very good way of not being alive

432
00:24:32.039 --> 00:24:35.460
for very long. So they looked for some alternatives. And

433
00:24:35.519 --> 00:24:38.619
the nitizines were actually synthesized in the late 50s and

434
00:24:38.660 --> 00:24:45.509
early 60s alongside fentanyl and its analogs for potential use

435
00:24:45.569 --> 00:24:49.700
in humans clinically. But it became quite apparent very quickly

436
00:24:49.839 --> 00:24:52.690
that they were far too potent to be useful. Their

437
00:24:53.049 --> 00:24:57.950
therapeutic range massively overlapped with their fatal range and so

438
00:24:58.029 --> 00:25:01.109
being able to titrate a safe dose is just not possible.

439
00:25:01.690 --> 00:25:05.700
So clinical development stopped and they were essentially forgotten about

440
00:25:05.859 --> 00:25:09.819
until 2021 when there were some drug gangs looking for

441
00:25:09.859 --> 00:25:14.319
some alternatives and I think that's probably how we've ended

442
00:25:14.380 --> 00:25:17.089
up with them on our streets and they're incredibly potent.

443
00:25:17.109 --> 00:25:21.019
They are as potent as fentanyl, some of them, and

444
00:25:21.299 --> 00:25:25.180
they're like the weakest ones. And I say weakest there,

445
00:25:25.220 --> 00:25:28.799
but very, very strong still. And then some of them

446
00:25:29.140 --> 00:25:33.009
are 50, 100 times more potent than fentanyl. And so

447
00:25:33.029 --> 00:25:36.769
these are not safe for human use. I think some

448
00:25:36.789 --> 00:25:39.769
of the reported potential uses for them have been the

449
00:25:41.150 --> 00:25:45.650
inclusion in darts for wild animals like rhinos and hippos.

450
00:25:46.349 --> 00:25:50.099
And I think a colleague recently found a proposed use

451
00:25:50.140 --> 00:25:55.289
for them to euthanise beached whales. So they are incredibly

452
00:25:55.329 --> 00:25:58.769
potent and they're incredibly dangerous as a result. I think

453
00:25:58.950 --> 00:26:04.990
for the BBC documentary I prepared three vials of just

454
00:26:05.009 --> 00:26:08.119
table salt for them and in one vial I had

455
00:26:08.460 --> 00:26:11.859
what is a pretty standard accepted lethal dose of heroin

456
00:26:12.480 --> 00:26:15.140
which is half a teaspoon or something in the bottom

457
00:26:15.160 --> 00:26:19.119
of the vial. The amount that a fatal dose of fentanyl,

458
00:26:19.180 --> 00:26:21.859
which is a tenth of a teaspoon, and then a

459
00:26:22.220 --> 00:26:25.019
fatal dose of one of these nitosines. And to do that,

460
00:26:25.299 --> 00:26:29.180
my PhD student at the time was going through some

461
00:26:29.220 --> 00:26:31.720
grains of table salt and he was picking out the

462
00:26:31.769 --> 00:26:35.670
smallest one and putting it on the scale and going, no,

463
00:26:35.710 --> 00:26:38.390
that one's too heavy. I need to find a smaller

464
00:26:38.509 --> 00:26:42.990
one to then plonk it in this vial. That's how

465
00:26:43.029 --> 00:26:45.549
potent these things are. If they were to aerosolize me,

466
00:26:45.589 --> 00:26:48.529
you could overdose just breathing them in which is why

467
00:26:48.670 --> 00:26:53.970
when police and emergency services come across a scene which

468
00:26:54.049 --> 00:26:57.390
involves potential synthetic opioids they have to put on PPE

469
00:26:57.430 --> 00:27:00.809
because they have to be trying to protect themselves in

470
00:27:00.869 --> 00:27:01.930
that scenario as well.

471
00:27:02.109 --> 00:27:06.750
Wow that's a great visual for the listener that's a

472
00:27:06.789 --> 00:27:09.289
great way of describing just how potent they are and

473
00:27:09.670 --> 00:27:12.829
again in that podcast the sad cases of people who

474
00:27:13.309 --> 00:27:17.210
You know, we're forever telling people don't buy drugs online

475
00:27:17.609 --> 00:27:19.589
from somewhere that you don't know where it's come from.

476
00:27:19.630 --> 00:27:22.950
And there were cases, weren't there, where people have bought oxycodone,

477
00:27:22.990 --> 00:27:26.329
for example, because they couldn't get it. And even these

478
00:27:26.349 --> 00:27:29.109
are people who weren't necessarily addicts. They were saying they

479
00:27:29.130 --> 00:27:30.849
couldn't get hold of their, they were short over a

480
00:27:30.869 --> 00:27:33.710
weekend or something, bought it online and it was laced

481
00:27:33.759 --> 00:27:34.880
with nitrazine and they died.

482
00:27:35.710 --> 00:27:39.279
Well, if you've got any listeners out there with some

483
00:27:39.299 --> 00:27:40.740
kids that they want to learn how to say no

484
00:27:40.759 --> 00:27:42.119
to drugs, just send them to me for a week

485
00:27:42.240 --> 00:27:45.329
or two and to redo some of the deaths and

486
00:27:45.910 --> 00:27:49.930
it acts as a pretty good contraceptive in that regard.

487
00:27:49.950 --> 00:27:52.930
And it makes you think that those drug gangs must

488
00:27:52.950 --> 00:27:57.289
have had some pharmacy input or pharmacology input, mustn't it?

489
00:27:57.299 --> 00:27:59.599
There's a couple of pharmacologists waiting for those drug gangs,

490
00:27:59.640 --> 00:28:00.039
isn't there?

491
00:28:00.740 --> 00:28:07.240
Oh, completely. So prior to the Psychoactive Substances Act, there

492
00:28:07.259 --> 00:28:09.000
were things that were called, you might have heard the

493
00:28:09.019 --> 00:28:12.950
term legal highs or designer drugs and And the term

494
00:28:12.990 --> 00:28:14.890
legal high came from because they were at that point

495
00:28:15.150 --> 00:28:17.049
technically legal because they weren't.

496
00:28:17.089 --> 00:28:18.630
Controlled by our drug laws.

497
00:28:19.069 --> 00:28:21.630
That was one of them. But the other term that

498
00:28:21.670 --> 00:28:24.519
was used was design a drug. And that's not because

499
00:28:24.559 --> 00:28:27.299
they had, I don't know, the Louis Vuitton logo on

500
00:28:27.339 --> 00:28:30.380
the pill or something. It was because they were specifically

501
00:28:30.420 --> 00:28:34.819
being designed chemically to circumvent the drug laws. So the

502
00:28:34.839 --> 00:28:37.339
way drug laws are written in banning or controlling a

503
00:28:37.400 --> 00:28:43.519
substance is that the actual structure is described. And these

504
00:28:43.559 --> 00:28:47.440
gangs have medicinal chemists that can interpret this and say, aha, well,

505
00:28:47.480 --> 00:28:53.400
if we do an alkyl substitution instead of a carbonyl substitution,

506
00:28:53.490 --> 00:28:55.589
that will circumvent the law.

507
00:28:55.630 --> 00:28:56.829
Gimmo loves a bit of chemistry.

508
00:28:57.690 --> 00:29:01.150
And we can design our way out of control.

509
00:29:02.309 --> 00:29:05.579
We mentioned at the beginning... and you know it, don't you,

510
00:29:05.640 --> 00:29:08.380
is Dr. Amira Ghegheiros, who we had on, I think,

511
00:29:08.420 --> 00:29:12.839
our second guest, second episode. And the book she recommended51200:29:12.880 --> 00:29:16.759



was Narconomics. And just a reminder, if anyone hasn't read it,51300:29:16.779 --> 00:29:18.619



it's a really good book, but it's essentially about how51400:29:19.339 --> 00:29:22.339



the drug business, the illegal drug business, is a business51500:29:22.380 --> 00:29:25.880



like any other big business. And you've just described it51600:29:25.920 --> 00:29:29.279



perfectly there. Their supply lines have run up, they've run out,51700:29:29.299 --> 00:29:31.900



they've come up with an alternative, they've created a new51800:29:31.960 --> 00:29:35.349



product for the market. um you know they've tested it51900:29:35.369 --> 00:29:37.450



and they put it put it out to market it's52000:29:37.700 --> 00:29:41.980



it's it's frighteningly business like what you're describing isn't.52100:29:41.759 --> 00:29:43.740



It i give you breaking bad.52200:29:45.940 --> 00:29:51.140



Completely and um before um the so the netizens were52300:29:51.160 --> 00:29:55.490



brought under control in the uk beginning of last year52400:29:55.509 --> 00:29:58.589



and they were controlled in china in summer last year52500:29:59.630 --> 00:30:05.009



And prior to a lot of these novel psychoactives come52600:30:05.089 --> 00:30:09.509



out of illicit labs in China. And prior to their52700:30:09.569 --> 00:30:14.450



control in those two jurisdictions, the nitizines we were seeing52800:30:15.089 --> 00:30:17.250



most of were the ones that were actually the lesser52900:30:17.309 --> 00:30:20.359



potent ones. And that's because we think the market sort53000:30:20.410 --> 00:30:23.460



of settled on the users not wanting to take something53100:30:23.500 --> 00:30:25.930



that would kill them. and the dealers not wanting to53200:30:25.970 --> 00:30:28.529



deal something that was killing their customers, because that's bad53300:30:28.569 --> 00:30:30.730



for business. If you're shrinking your pool, you're not going53400:30:30.750 --> 00:30:36.529



to make money. But post-control, what we've seen is those53500:30:36.569 --> 00:30:38.789



principles have now gone out the window, and the drug53600:30:38.809 --> 00:30:42.950



gangs are now prioritising not being caught. And so we're53700:30:43.019 --> 00:30:46.279



now seeing the more potent nitizines that we didn't actually53800:30:46.319 --> 00:30:50.079



see before appearing. And that's because if you need to53900:30:50.500 --> 00:30:52.670



smuggle drugs and you don't want to get caught, If54000:30:52.690 --> 00:30:55.069



you can smuggle the smallest amount, it's probably not going54100:30:55.109 --> 00:30:58.569



to get intercepted. And it can be diluted at destination54200:30:58.609 --> 00:31:02.170



into many, many, many more doses. And so they've moved54300:31:02.230 --> 00:31:05.650



away from let's not kill our customers to a, well,54400:31:05.670 --> 00:31:07.849



we still want to make money. And so we're now54500:31:08.650 --> 00:31:12.289



being pushed towards a more potent product, which is even54600:31:12.329 --> 00:31:16.569



more dangerous. And this isn't, unfortunately, a new phenomenon either.54700:31:16.609 --> 00:31:20.210



There was something coined as the potency paradox, I think,54800:31:20.259 --> 00:31:27.079



in the late 90s, by some drug policy experts that54900:31:27.150 --> 00:31:30.720



had noticed then that you control something and what next55000:31:30.779 --> 00:31:33.559



appears is this even more potent hydro.55100:31:34.339 --> 00:31:36.799



Well, let's try and lighten the mood slightly and move55200:31:36.819 --> 00:31:38.380



on to your... No, no, no, no, it's fine. We55300:31:38.500 --> 00:31:40.799



asked you and you told us, and I think our55400:31:40.839 --> 00:31:43.740



listeners will find it very interesting, which is why when55500:31:43.769 --> 00:31:46.430



we heard you at Oxford, Jamie and I looked at55600:31:46.450 --> 00:31:48.069



each other and said, we've got to get her on55700:31:48.109 --> 00:31:50.759



the podcast. So one of the pleasures of coming on55800:31:50.799 --> 00:31:53.220



the podcast, and I know that you know this, is55900:31:53.259 --> 00:31:56.420



to give us your three prescription item for the oral56000:31:56.440 --> 00:31:59.740



apothecary prescription. And the first one always starts with a56100:32:00.009 --> 00:32:03.450



desert island drug. So this is a drug or medicine56200:32:04.369 --> 00:32:08.450



that evokes a powerful memory for you. So what would56300:32:08.470 --> 00:32:10.150



you like to choose and why?56400:32:10.170 --> 00:32:15.160



So I am going to choose the very recent and56500:32:15.200 --> 00:32:17.819



much talked about GLP-1 agonists.56600:32:18.279 --> 00:32:18.599



Okay.56700:32:18.950 --> 00:32:19.890



Any one in particular?56800:32:20.690 --> 00:32:24.210



Well, I'm not actually going to name one because the56900:32:24.250 --> 00:32:28.230



memory that evokes is at the time, I don't think57000:32:28.269 --> 00:32:30.750



I knew the name of any of the drugs. So57100:32:30.990 --> 00:32:38.119



back when I was an undergraduate in 2000, mid-2000s, I57200:32:38.160 --> 00:32:43.700



can't remember if I was in second or third year,57300:32:44.000 --> 00:32:49.569



I did pharmacology undergraduate at UCL. And we had a57400:32:50.049 --> 00:32:53.170



chap from pharmaceutical industry come and give us a talk.57500:32:54.009 --> 00:32:56.190



And it was at a time when we were likely57600:32:56.230 --> 00:32:59.190



to be going to industry, you know, big pharma startup,57700:32:59.210 --> 00:33:01.619



to be staying in academia. And it was meant to57800:33:01.630 --> 00:33:05.880



be a careers talk for us. And what he was57900:33:05.920 --> 00:33:10.359



talking about was trying to show us the process of58000:33:10.920 --> 00:33:14.339



big pharma. And he asked us, what is the best drug?58100:33:14.730 --> 00:33:16.390



that you can think of, you know, chat to your58200:33:16.410 --> 00:33:18.470



partner for five minutes and see what you can come58300:33:18.529 --> 00:33:21.710



up with. And when he brought everyone back, you know,58400:33:21.750 --> 00:33:24.160



we had things like, you know, a cure for HIV,58500:33:24.220 --> 00:33:27.720



a cure for tuberculosis. And he sort of went, yeah,58600:33:27.799 --> 00:33:31.859



that all seems very good. But in terms of a58700:33:31.960 --> 00:33:35.700



large market of wealthy people that can make a profit,58800:33:36.569 --> 00:33:41.019



not really the best one. And he then proposed to us,58900:33:42.140 --> 00:33:44.519



anti-obesity drugs. He said, you know, it's a problem of59000:33:44.559 --> 00:33:47.859



the West. The West has lots of money. And these59100:33:47.900 --> 00:33:50.240



are people that have a problem that can be solved59200:33:50.339 --> 00:33:54.000



by purchasing these drugs. And that's what a pharmaceutical company59300:33:54.099 --> 00:33:58.160



is interested in, is the revenue. And I remember, and59400:33:58.220 --> 00:34:00.660



it's a crystallising moment for me in my career, I59500:34:00.660 --> 00:34:04.079



remember sitting in that lecture theatre and just thinking, I59600:34:05.380 --> 00:34:08.880



don't want to be doing science just to make money.59700:34:09.659 --> 00:34:12.630



I want to be doing my science to make a59800:34:12.659 --> 00:34:16.489



difference and it was at that point that I decided59900:34:16.570 --> 00:34:19.309



I did not ever want to go into industry and60000:34:19.349 --> 00:34:23.349



wanted to stay within the academic research field which is60100:34:23.369 --> 00:34:26.070



why I can't tell you a particular one because okay60200:34:26.420 --> 00:34:28.980



back in the mid-2000s they were more of a concept60300:34:29.000 --> 00:34:32.500



than a Zenpig or a Wee Govie or whatever the60400:34:32.539 --> 00:34:33.599



newest one is at the moment.60500:34:33.659 --> 00:34:36.079



But there is a link though isn't there because basically60600:34:36.239 --> 00:34:38.139



a lot of these people are addicted to sugar right?60700:34:39.039 --> 00:34:43.159



Um oh gosh goodness me maybe we shouldn't get on60800:34:43.260 --> 00:34:47.920



to i am a career fat person here and so60900:34:48.059 --> 00:34:51.320



um yeah i i'm um yeah i just have to61000:34:51.360 --> 00:34:53.679



look at a jelly baby and i put on three61100:34:53.719 --> 00:34:57.659



kilos um whereas my darling husband can drink three liters61200:34:57.719 --> 00:35:00.320



of full fat coke an entire packet of haribo and61300:35:00.340 --> 00:35:02.500



still have room for a chocolate orange and be shaped61400:35:02.519 --> 00:35:07.119



like a triangle and run triathlons so um I don't61500:35:07.280 --> 00:35:09.460



think it's just down to how much you eat, unfortunately.61600:35:09.519 --> 00:35:11.360



And the sad thing is there's probably going to be61700:35:11.389 --> 00:35:13.269



a connection in the future with your current work, because61800:35:13.309 --> 00:35:17.130



I wouldn't be surprised if they start appearing on PFDs61900:35:17.289 --> 00:35:20.130



or coroner's reports at some point in the future, given62000:35:20.510 --> 00:35:21.429



how much they used.62100:35:22.389 --> 00:35:25.380



So I had a call from a coroner. Gosh, I62200:35:25.400 --> 00:35:27.480



think it was a couple of years ago now. They62300:35:27.519 --> 00:35:30.199



had a lady who had died of an overdose of62400:35:30.500 --> 00:35:34.530



the antidepressant medication she was prescribed. And the coroner's question62500:35:34.590 --> 00:35:38.010



to me was that she had had a few years62600:35:38.070 --> 00:35:42.809



prior bariatric surgery. I can't remember if it was a62700:35:43.889 --> 00:35:48.110



sleeve or a staple or a bypass. I can't remember exactly.62800:35:48.550 --> 00:35:51.929



But his question was that if you have changed how62900:35:51.969 --> 00:35:54.389



a drug is absorbed and how much of that drug63000:35:54.409 --> 00:35:57.989



can be absorbed, is it possible that she was taking63100:35:58.030 --> 00:36:03.750



her drug as prescribed, but actually the altered physiology anatomy63200:36:03.809 --> 00:36:08.150



had led to the overdose and we published a paper63300:36:08.170 --> 00:36:10.710



about a year ago I think we found it was63400:36:10.730 --> 00:36:13.170



only a handful I think it was about 15 people63500:36:13.670 --> 00:36:17.010



who had a history of bariatric surgery and then had63600:36:17.070 --> 00:36:20.710



died of a drug overdose but I think all of63700:36:20.769 --> 00:36:26.150



them had died following use of their prescribed medicines and63800:36:26.170 --> 00:36:30.030



it wasn't clear from them if they had been not63900:36:30.190 --> 00:36:33.510



using them as directed or using them as they should have,64000:36:33.559 --> 00:36:37.639



but then their altered physiology had caused the problems. And64100:36:37.719 --> 00:36:41.960



the same goes for these GLP-1 agonists. Part of their64200:36:42.019 --> 00:36:47.159



design is that they slow down stomach transit time. So64300:36:47.199 --> 00:36:50.550



the food stays in your stomach for longer to make64400:36:50.590 --> 00:36:53.849



you feel fuller for longer and more quickly. But if64500:36:53.869 --> 00:36:58.170



that happens with your oral medication, and your oral medication64600:36:58.230 --> 00:37:00.309



stays in your stomach for longer than it should do,64700:37:00.889 --> 00:37:03.969



and doesn't get transited into your intestine, which has a64800:37:03.989 --> 00:37:06.289



different pH, which means that it's not going to be64900:37:06.309 --> 00:37:08.670



absorbed as well, are we going to end up with65000:37:08.750 --> 00:37:13.110



either overall under-absorption, so overdose or lack of therapy in65100:37:13.150 --> 00:37:15.449



people taking these GLP-1s? And I don't think we know65200:37:15.469 --> 00:37:16.329



the answer to that yet.65300:37:16.449 --> 00:37:19.329



Very good. Well, I don't think anybody's had a GLP-1 before,65400:37:19.369 --> 00:37:22.360



so I think that's the first into the oral apothecary formulary.65500:37:22.840 --> 00:37:25.599



So well done on that. Okay, the second thing then,65600:37:26.429 --> 00:37:29.889



is a life or career anthem, a piece of music65700:37:29.949 --> 00:37:33.460



to go into the Oral Apothecary Spotify playlist. And yes,65800:37:33.559 --> 00:37:35.880



it really is on Spotify. So what would you like65900:37:35.900 --> 00:37:36.679



to give us and why?66000:37:37.159 --> 00:37:41.400



This was actually really, really tough for me. And not66100:37:41.440 --> 00:37:43.019



for the reasons that you'll think of, like, oh, I66200:37:43.039 --> 00:37:47.199



don't know which one to choose. But I genuinely don't66300:37:47.300 --> 00:37:51.389



listen to music. Oh, wow. I'm one of those people66400:37:51.409 --> 00:37:56.010



that can drive for two hours in pure silence. because66500:37:56.030 --> 00:37:58.150



I think it's just that I have such a busy66600:37:58.230 --> 00:38:01.340



brain that is going 100 miles an hour all the time.66700:38:01.760 --> 00:38:05.480



I think I am my own entertainment. And I just66800:38:05.599 --> 00:38:07.880



don't listen to music. So what I'm going to suggest66900:38:07.900 --> 00:38:11.719



to you instead is I do actually play music in67000:38:12.110 --> 00:38:15.829



a brass band. And so I'm going to suggest a67100:38:15.909 --> 00:38:24.150



classic brass banding tune for you, which is Knights Templar. uh,67200:38:24.230 --> 00:38:30.369



by George Allen. And, uh, this particular brass banding piece, uh,67300:38:30.510 --> 00:38:35.360



holds the particular, um, part of my heart because there's67400:38:35.380 --> 00:38:37.340



something called, I don't know if you ever heard of67500:38:37.400 --> 00:38:41.280



the whip Friday marches at all up in Saddleworth.67600:38:42.139 --> 00:38:42.579



Ah, right.67700:38:42.960 --> 00:38:47.590



This is right up your street. So, um, every whip Friday.67800:38:47.610 --> 00:38:51.219



So however many weeks after Easter that is, um, around67900:38:51.219 --> 00:38:54.130



100 bands mostly from the uk but we get people68000:38:54.170 --> 00:38:56.889



from canada and norway new zealand all over the show68100:38:57.429 --> 00:39:01.409



descend on the villages of saddleworth and they all pile68200:39:01.510 --> 00:39:04.269



on to coaches and they drive around and you have68300:39:04.289 --> 00:39:08.170



to each the villages as a competition and you have68400:39:08.210 --> 00:39:12.510



to announce your arrival by marching down the road playing68500:39:12.530 --> 00:39:15.809



a particular tune we in recent years have gone for68600:39:16.440 --> 00:39:19.500



pop songs like Backstreet Boys or I think we did68700:39:19.559 --> 00:39:22.090



Under the Sea by Little Mermaid one year. And then68800:39:22.110 --> 00:39:25.269



you get to the, I'll say arena, but it tends68900:39:25.289 --> 00:39:27.369



to just be a patch of grass, where you then69000:39:27.429 --> 00:39:30.420



have to play your contest piece and be marked. by69100:39:30.440 --> 00:39:34.159



an adjudicator. But a lot of these brass bands have69200:39:34.400 --> 00:39:38.230



very fancy uniforms. And if the adjudicator could see them,69300:39:38.289 --> 00:39:41.269



they would know which band it was just from the69400:39:41.289 --> 00:39:43.130



colour of the jacket or the lapels or something. We69500:39:43.190 --> 00:39:45.329



all look like sea captains when we're wearing these things.69600:39:46.570 --> 00:39:49.460



And so they have to be hidden from view. So69700:39:49.500 --> 00:39:54.480



in some villages, the adjudicator is in a caravan with69800:39:54.500 --> 00:39:57.460



the window open. There's one village where they're in the69900:39:57.500 --> 00:40:00.460



first floor of a pub, just over the way from70000:40:00.480 --> 00:40:02.599



where we play, with the window open. I think my70100:40:02.639 --> 00:40:04.980



favourite one, there was a chap one year who was70200:40:05.019 --> 00:40:07.889



in the back of a lorry that just had the70300:40:07.929 --> 00:40:10.510



back of it just cracked open at the bottom. And70400:40:10.829 --> 00:40:12.869



I could see his shoes, and he was very well70500:40:12.909 --> 00:40:14.769



dressed back there, from what I could tell from the70600:40:14.809 --> 00:40:18.269



shoes and the trousers. But it's this absolutely crazy, mad...70700:40:19.429 --> 00:40:24.349



of all these brass bands playing to adjudicators that can't70800:40:24.389 --> 00:40:28.050



see them. And it goes on until 11 o'clock midnight.70900:40:28.170 --> 00:40:32.849



So Knights Templar, I have probably played as much as71000:40:32.929 --> 00:40:35.329



I have drunkenly sung with a beer in one hand71100:40:35.389 --> 00:40:38.730



and a pork pie in the other, whilst the band71200:40:38.789 --> 00:40:40.510



before us have done it.71300:40:40.809 --> 00:40:42.550



How have I never heard of that? That's fantastic.71400:40:42.610 --> 00:40:43.659



Oh, it's brilliant.71500:40:44.070 --> 00:40:46.239



Let's go. Let's all have an AAA trip.71600:40:46.260 --> 00:40:48.519



Didn't that feature in the film Brassed Off?71700:40:48.969 --> 00:40:50.400



Oh, I think so, probably.71800:40:50.579 --> 00:40:51.760



Oh, I've seen that.71900:40:52.000 --> 00:40:53.699



Yeah, similar. That's what I thought.72000:40:53.820 --> 00:40:57.019



Yeah, we call it band Christmas. It's our favourite day72100:40:57.039 --> 00:40:57.519



of the year.72200:40:57.900 --> 00:41:00.300



Very good. I think that's also a first. I don't72300:41:00.360 --> 00:41:04.210



think we've had any brass band music. So you're doing72400:41:04.269 --> 00:41:06.849



very well. So you've got two. And may I just72500:41:06.889 --> 00:41:10.989



say that you are the 94th guest on the Oral72600:41:11.030 --> 00:41:14.929



Apothecary and you've had two firsts. So why don't you72700:41:14.969 --> 00:41:17.699



fill your boots and go for your third of a72800:41:17.840 --> 00:41:20.210



book for the Oral Apothecary Library?72900:41:20.469 --> 00:41:25.130



So, I was torn with this one because being an73000:41:25.250 --> 00:41:28.719



academic new mum who moved house earlier this year, I73100:41:28.760 --> 00:41:32.480



surprisingly find that when I need to be reading something,73200:41:32.539 --> 00:41:34.840



unless it's a paper or a bit of my student's work,73300:41:34.900 --> 00:41:39.519



I just have extreme guilt. So, I'd either have to73400:41:39.579 --> 00:41:43.070



pick an adult book that I have read from quite73500:41:43.090 --> 00:41:45.389



a long time ago or I'd One of the books,73600:41:45.429 --> 00:41:47.989



which I've probably read about 100 times just in the73700:41:48.010 --> 00:41:52.730



past month. So you've either got a choice, and I'll73800:41:52.750 --> 00:41:54.010



leave it up to you because one of these might73900:41:54.030 --> 00:41:58.940



be a duplication. It's my absolute favourite book as a74000:41:58.960 --> 00:42:01.420



young adult and even now is The Count of Monte Cristo.74100:42:01.440 --> 00:42:06.139



And it's a huge adventure story, Alexander Dumas. It's got74200:42:06.719 --> 00:42:09.969



a bit of everything in it. It's got injustice, escape,74300:42:10.809 --> 00:42:15.820



this ridiculously elaborate revenge plot. And it's very exciting. And74400:42:15.880 --> 00:42:19.000



so it really grabs my attention whenever I read it.74500:42:20.400 --> 00:42:23.320



You've either got that or you've got Where's Spot?74600:42:23.980 --> 00:42:24.480



The dog?74700:42:25.019 --> 00:42:27.739



The Lift the Flat book. That's one of my son's74800:42:27.960 --> 00:42:32.159



absolute favourite books. And one of the things that I've74900:42:32.239 --> 00:42:35.440



come to realise when reading this with him is that75000:42:36.400 --> 00:42:38.880



Spot has a lot of apex predators living in his house.75100:42:39.800 --> 00:42:44.039



You know, a lion, a bear, Crocodile.75200:42:44.739 --> 00:42:46.579



What was I doing there?75300:42:48.219 --> 00:42:50.449



I think actually either of them would be a first.75400:42:51.349 --> 00:42:58.170



I've read both of them. Any parent can sort of75500:42:58.210 --> 00:43:01.289



align with the idea of a spot or the Gruffalo.75600:43:01.409 --> 00:43:03.369



I like the Count of Monte Cristo. That's a fab book.75700:43:03.510 --> 00:43:05.730



Because I knew we were going down the children's book,75800:43:06.690 --> 00:43:08.730



I thought, wouldn't it be great if you picked a75900:43:08.750 --> 00:43:09.630



squash and a squeeze?76000:43:09.650 --> 00:43:09.719



Yes.76100:43:10.429 --> 00:43:11.110



Oh, yeah.76200:43:11.250 --> 00:43:14.349



And took us all the way back to our polypharmacy76300:43:14.389 --> 00:43:16.170



pain patient of series one.76400:43:16.190 --> 00:43:18.190



I would think Caroline's too young for that.76500:43:18.469 --> 00:43:18.869



Yeah.76600:43:18.889 --> 00:43:21.510



Well, I think we'll go for The Count of Monte Cristo.76700:43:21.639 --> 00:43:23.679



That is a classic. I haven't read it, but my76800:43:23.739 --> 00:43:27.480



dad is 87, and he's always told me that it76900:43:27.519 --> 00:43:30.019



was his favourite book when he was growing up. And77000:43:30.059 --> 00:43:32.480



I recently watched the BBC. No, it wasn't the BBC.77100:43:32.519 --> 00:43:35.500



It was on the BBC, but it was a French dramatisation,77200:43:35.980 --> 00:43:38.880



four parts. Absolutely loved it. Watched it with my wife.77300:43:39.389 --> 00:43:41.599



And did start reading it recently, but I haven't got77400:43:41.619 --> 00:43:42.039



very far.77500:43:42.320 --> 00:43:44.059



So I think it's got to be the Count de77600:43:44.099 --> 00:43:44.699



Monte Cristo.77700:43:44.800 --> 00:43:45.380



Yes.77800:43:45.579 --> 00:43:49.460



Because there is poison in it, isn't it? And opiates77900:43:49.519 --> 00:43:52.099



appear in it and strychnine and things like that.78000:43:52.599 --> 00:43:58.119



A massive poisoning plot. I think that's one of the poisons.78100:43:58.199 --> 00:43:59.420



I don't think.78200:44:01.659 --> 00:44:04.440



This does actually give anything away. But depending upon how78300:44:04.500 --> 00:44:08.119



much you take, it can either be an elixir or78400:44:08.139 --> 00:44:08.980



a deadly poison.78500:44:10.260 --> 00:44:11.840



Oh, the dose maketh the poison.78600:44:11.860 --> 00:44:18.690



Exactly. Paracelvis. It's not the joke for how much you take.78700:44:19.070 --> 00:44:21.530



Exactly. Okay, so we'll go for The Count of Monte78800:44:21.570 --> 00:44:27.210



Cristo by Alexandra Dumas. Excellent. So three firsts, which is78900:44:27.269 --> 00:44:29.130



very impressive as the 94th guest.79000:44:29.349 --> 00:44:33.719



Quick quiz question for you and the listeners. What superhero79100:44:33.860 --> 00:44:35.739



had a dog named Spot?79200:44:36.539 --> 00:44:38.659



Is it a proper superhero or a cartoon?79300:44:38.699 --> 00:44:39.159



Superman.79400:44:39.809 --> 00:44:44.389



Hong Kong phooey. And he actually had stripes, didn't he?79500:44:44.429 --> 00:44:47.130



That was the other thing. Anyway, let's move on. Our79600:44:47.170 --> 00:44:50.949



micro discussion next. We've got the International Journal of Drug Policy.79700:44:50.989 --> 00:44:54.320



It's one of Caroline's that we've gone with. And they've79800:44:54.340 --> 00:44:56.739



done a clever thing here because the title of the79900:44:56.780 --> 00:44:59.480



paper is actually the message of the paper as well,80000:44:59.519 --> 00:45:02.900



isn't it? So comparison of Office for National Statistics and80100:45:02.940 --> 00:45:07.699



National Programme on Substance Use Mortality Data suggests that opioid-related80200:45:07.719 --> 00:45:13.889



deaths in England and Wales have been systemically underestimated discuss caroline.80300:45:13.989 --> 00:45:22.139



Yeah um yeah this is a recent paper and um80400:45:23.039 --> 00:45:29.099



i've started actually not writing long papers um so there's80500:45:29.119 --> 00:45:32.760



a full journal report three and a half four thousand80600:45:32.800 --> 00:45:36.039



words but I've just decided that you can say most80700:45:36.079 --> 00:45:37.719



of what you want within 2,000 words.80800:45:38.559 --> 00:45:42.219



Well, harder to write a short paper than a long paper, Caroline.80900:45:42.340 --> 00:45:44.659



Yes, but who's got time to write and read the81000:45:44.699 --> 00:45:50.210



long ones anyway? So, yes, this was a short report81100:45:50.309 --> 00:45:57.849



that had a really important message to it. And interestingly,81200:45:58.030 --> 00:46:02.239



it started– when we had a conversation with the Office81300:46:02.260 --> 00:46:05.659



for National Statistics themselves, and they said, look, we realise81400:46:06.039 --> 00:46:08.909



that this is a big problem, but we just don't81500:46:09.090 --> 00:46:12.909



know how big a problem it is. And, you know,81600:46:12.989 --> 00:46:16.590



can we work together to try and see.81700:46:16.929 --> 00:46:19.809



So what is the problem? Just explain the problem for us.81800:46:20.250 --> 00:46:25.300



So the problem is that if a coroner, when they81900:46:25.360 --> 00:46:28.460



are writing the cause of death of how somebody has82000:46:28.519 --> 00:46:34.039



died down, If they use an ambiguous cause term that82100:46:34.480 --> 00:46:37.579



the ONS, the Office for National Statistics, can't tell what82200:46:37.619 --> 00:46:42.280



the drug is, they can't count it in their deaths82300:46:42.320 --> 00:46:44.780



due to opioid use or deaths due to cocaine use82400:46:44.949 --> 00:46:46.929



because they don't know what they are. And so those82500:46:47.030 --> 00:46:49.550



ambiguous terms, some examples of things like, you know, they82600:46:49.570 --> 00:46:54.929



could just write multidrug toxicity or polydrug overdose. And a82700:46:55.090 --> 00:46:58.429



poly drug, it just means more than one, right? So82800:46:58.449 --> 00:47:04.650



that could be a codeine paracetamol overdose, which could have82900:47:04.690 --> 00:47:10.130



happened due to purchase of over-the-counter cocodamol. Or it could83000:47:10.170 --> 00:47:13.070



have been a death due to heroin and cocaine use.83100:47:13.159 --> 00:47:17.039



They're both poly drug deaths, but very different types of83200:47:17.099 --> 00:47:20.280



deaths in terms of how those drugs were probably purchased83300:47:20.360 --> 00:47:22.920



and used and their motivation and so on and so forth.83400:47:23.710 --> 00:47:28.340



And so what we, so the database that I run,83500:47:29.059 --> 00:47:31.780



in addition to getting the records of inquest, which is83600:47:31.800 --> 00:47:34.679



where the coroner lists their causes of death, we get83700:47:34.739 --> 00:47:38.639



the full toxicology report that ONS don't get. And we83800:47:38.679 --> 00:47:41.570



can see therefore on these deaths that are described as83900:47:41.699 --> 00:47:44.309



poly drug or multi drug, we can actually see which84000:47:44.829 --> 00:47:48.070



of the substances were involved. And so what we did84100:47:48.150 --> 00:47:52.869



was we say, just for ease of interpretation, hopefully, Say84200:47:52.909 --> 00:47:56.929



you had 100 deaths due to tramadol reported to the84300:47:56.969 --> 00:48:01.190



database and 60 of them had tramadol named on the84400:48:01.230 --> 00:48:07.250



death certificate, but then 40 had it ambiguously implicated. We84500:48:07.289 --> 00:48:11.030



would be able to say that 60% of tramadol deaths84600:48:11.429 --> 00:48:13.969



ONS would be getting, but they'd be missing 40% of them.84700:48:13.989 --> 00:48:17.480



So I should probably point out at this point, we84800:48:17.559 --> 00:48:21.099



don't have 100% of coroners reporting to the NPSUN. We've84900:48:21.139 --> 00:48:23.840



got just over 90% now, but it's not full coverage.85000:48:23.920 --> 00:48:27.539



So ONS get all deaths reported to them, but then85100:48:27.559 --> 00:48:30.760



they're missing the detail. Whereas we get the majority or85200:48:30.800 --> 00:48:34.420



quite a lot of deaths reported to us, but in85300:48:34.539 --> 00:48:36.559



high detail, but we don't get all of them. So85400:48:37.800 --> 00:48:42.300



by triangulating them together, we were able to estimate the85500:48:42.469 --> 00:48:47.809



likely true number of opioid deaths that have happened.85600:48:47.570 --> 00:48:47.989



In the UK.85700:48:48.010 --> 00:48:50.610



I think we did it over a 10 year period85800:48:51.329 --> 00:48:55.860



and it was around I think between 35 and 4085900:48:55.860 --> 00:49:00.159



percent of opioid related deaths have been missed by ONS86000:49:00.739 --> 00:49:03.019



and that's a huge number to be missing.86100:49:03.219 --> 00:49:05.659



And so that matters doesn't it because that's you know86200:49:05.980 --> 00:49:09.960



how much money spent on drug misuse policy you know86300:49:09.960 --> 00:49:14.159



it just means we've massively underestimated the scale of the problem.86400:49:14.159 --> 00:49:16.400



Yeah so if you have a shop that only has86500:49:16.400 --> 00:49:19.860



enough product for 60 of your customers, you're going to86600:49:19.880 --> 00:49:22.820



have to shut early. And for people who use drugs,86700:49:22.860 --> 00:49:24.280



that just means that they aren't going to be able86800:49:24.300 --> 00:49:28.409



to access treatment. But it's not just a scale problem.86900:49:28.449 --> 00:49:31.510



It's not just saying, well, now you need to fund87000:49:31.550 --> 00:49:38.199



drug treatment centres 40% more. Because... scaling is not the87100:49:38.300 --> 00:49:41.639



only solution here. And if I'm teaching a classroom of87200:49:41.639 --> 00:49:44.800



10 students, what I deliver in terms of how that87300:49:44.840 --> 00:49:47.739



teaching is done is very different from how I teach87400:49:47.739 --> 00:49:51.059



50 students. I deliver that in an entirely different way87500:49:51.619 --> 00:49:54.280



and drug services will have to be the same. And87600:49:54.340 --> 00:49:58.030



also we can't assume that the people that ONS aren't87700:49:58.150 --> 00:50:02.050



counting and capturing are demographically the same as the ones87800:50:02.090 --> 00:50:06.769



that they are counting. So, you know, for example, deaths87900:50:07.730 --> 00:50:11.070



by suicide tend to only involve a couple of substances.88000:50:11.130 --> 00:50:13.570



Most people just take a lot of one or maybe88100:50:13.610 --> 00:50:16.730



two things. And so if you've got fewer drugs present88200:50:17.369 --> 00:50:19.309



in a death, the coroner is more likely to write88300:50:19.329 --> 00:50:22.130



them out than they are if there's seven or eight88400:50:22.150 --> 00:50:26.469



different ones that have to be written out. So demographically,88500:50:26.570 --> 00:50:28.949



the deaths that are being missed are also going to88600:50:28.989 --> 00:50:32.489



be different. And so it's not just a scaling issue,88700:50:32.550 --> 00:50:35.909



but a orientation issue as well.88800:50:36.309 --> 00:50:38.369



So just because we mentioned it earlier in the podcast,88900:50:38.409 --> 00:50:42.480



but didn't give numbers. So the ONS data for 202389000:50:42.480 --> 00:50:47.239



says five and a half thousand deaths due to drug poisoning. Granted,89100:50:47.420 --> 00:50:49.940



you're saying that that's not necessarily the full picture. And89200:50:49.980 --> 00:50:53.539



that's about just under 1% of all deaths. That's in89300:50:53.599 --> 00:50:57.119



England and Wales, isn't it? And half of those involved opioids.89400:50:57.360 --> 00:51:02.030



Yeah, so the overall drug death number reported to ONS89500:51:02.179 --> 00:51:06.480



is probably near enough accurate. But it's the proportion of89600:51:06.519 --> 00:51:09.719



those that they're able to attribute to opioids is where89700:51:09.739 --> 00:51:10.760



the problem comes from.89800:51:11.440 --> 00:51:14.059



And I suppose then the final thing, we have on89900:51:14.099 --> 00:51:18.360



this podcast discussed things to do with coroners before. So90000:51:18.730 --> 00:51:20.989



I think it's fair to say that although your paper90100:51:21.070 --> 00:51:25.909



points out politely that sometimes perhaps coroners try to simplify90200:51:25.969 --> 00:51:29.530



for their audience, so particularly for members of the family90300:51:29.590 --> 00:51:31.929



of the deceased, particularly if they took their own life,90400:51:32.739 --> 00:51:35.369



that they had very serious mental health issues, that they90500:51:35.409 --> 00:51:38.469



might not want to go into too much detail. However,90600:51:38.530 --> 00:51:42.409



your conclusion I completely concur with, which is why on90700:51:42.510 --> 00:51:46.449



earth do the coroners not get mandated to use agreed90800:51:46.510 --> 00:51:48.699



criteria and then we would solve the problem, right?90900:51:48.949 --> 00:51:51.619



Indeed, and one of the things that was actioned after91000:51:51.659 --> 00:51:57.179



this paper was that the Office for Health Inequality and Disparity, OBID,91100:51:57.219 --> 00:52:01.880



did write a letter to the chief coroner recommending that91200:52:03.780 --> 00:52:06.260



a letter is written to all coroners in England and91300:52:06.300 --> 00:52:11.059



Wales to better use cause terms that are more transparent.91400:52:11.840 --> 00:52:16.030



I think in the most recent statistics, it's something like91500:52:16.030 --> 00:52:20.710



25% of drug deaths they aren't able to attribute to substances.91600:52:21.230 --> 00:52:24.710



But the coroners in Northern Ireland are actually very good91700:52:24.769 --> 00:52:27.690



at using specific cause terms and only 6% of deaths91800:52:29.230 --> 00:52:34.809



In Northern Ireland, they couldn't attribute to particular substances. But91900:52:34.829 --> 00:52:37.210



that number is even lower in Scotland. Scotland have a92000:52:37.230 --> 00:52:39.610



slightly different system to England, Wales and Northern Ireland. I92100:52:39.630 --> 00:52:42.789



think they were only able to not identify which drugs92200:52:42.809 --> 00:52:45.469



are involved in something like 1% of cases. So it92300:52:45.530 --> 00:52:46.429



is obviously possible.92400:52:46.699 --> 00:52:50.639



Yeah. And unfortunately, Scotland is top of the tables, unfortunately,92500:52:50.679 --> 00:52:53.099



isn't it, in relation to drug deaths?92600:52:54.019 --> 00:52:58.500



Yes, it has the highest number of deaths per capita.92700:52:59.309 --> 00:53:00.590



In Europe, is that?92800:53:00.699 --> 00:53:04.840



In the world, I believe. I think they surpass even92900:53:04.880 --> 00:53:08.639



the US. But it is a proportions and numbers game.93000:53:09.019 --> 00:53:13.719



So Scotland has fewer drug deaths than England and Wales,93100:53:14.199 --> 00:53:16.469



but they have a much smaller population. But if you93200:53:16.489 --> 00:53:21.630



do death per... capita of population, then the number is93300:53:21.650 --> 00:53:22.050



very high.93400:53:22.289 --> 00:53:24.150



So Caroline, two things from me and then I think93500:53:24.170 --> 00:53:26.719



we'll wrap up. We could have gone with your safety93600:53:26.860 --> 00:53:31.340



concerns on fentanyl patches paper, which when I read that,93700:53:32.039 --> 00:53:34.760



so that was safety concern reported by coroners following fentanyl93800:53:34.800 --> 00:53:38.960



patch fatalities in England, Wales, Northern Ireland between 1997 and 2024.93900:53:39.800 --> 00:53:43.960



And that almost mirrors our careers, really, because fentanyl patches94000:53:44.400 --> 00:53:47.019



came about in 94, 95, I think you said, or94100:53:47.059 --> 00:53:48.800



something like that, which was just at the start of94200:53:49.860 --> 00:53:53.849



our careers. And then that safety profile, and then all94300:53:53.869 --> 00:53:55.929



of a sudden you can see that they're starting to94400:53:55.969 --> 00:53:59.469



be implicated. But you mentioned nitizines earlier, just on the94500:53:59.530 --> 00:54:03.269



cause of death bit. We didn't touch on the fact that,94600:54:03.530 --> 00:54:06.460



and so be brief if you can, but that the nitizines,94700:54:07.219 --> 00:54:10.400



has this story changed? That they weren't as detectable as they,94800:54:10.840 --> 00:54:12.579



and that detectability was changing?94900:54:13.260 --> 00:54:14.800



Yeah, yeah, yeah.95000:54:14.840 --> 00:54:19.269



So again, we did a report, I think it was95100:54:19.289 --> 00:54:21.809



published earlier this year. So this was, so I go95200:54:21.829 --> 00:54:24.630



to lots of different conferences and chat to anyone who'll95300:54:24.670 --> 00:54:26.269



have a chat with me. Now I've ended up here.95400:54:26.769 --> 00:54:30.110



And quite a few of the, I think it was95500:54:30.130 --> 00:54:33.210



about three or four different toxicologists that work in the95600:54:33.320 --> 00:54:35.539



UK came to me and were like, Caroline, I'm seeing95700:54:35.619 --> 00:54:39.519



something weird. And there was one chap who was detecting95800:54:39.539 --> 00:54:42.500



mitosine in urine, but not in blood. There was another95900:54:42.539 --> 00:54:45.780



person who detected it in a syringe that was found96000:54:45.840 --> 00:54:48.989



in the deceased person's arm, but couldn't find it in96100:54:49.030 --> 00:54:52.369



the blood. And then there was one person who had96200:54:52.650 --> 00:54:55.369



detected mitosine in a blood sample that was taken on96300:54:55.409 --> 00:54:58.050



the day that the person had died. But then when96400:54:58.070 --> 00:54:59.829



they'd been in the morgue for a week and the96500:54:59.869 --> 00:55:02.550



full post-mortem was done and that blood sample was taken,96600:55:02.650 --> 00:55:05.710



it couldn't be detected then. So we did a controlled96700:55:05.769 --> 00:55:09.889



experiment with some rat studies to see if the nitazines96800:55:09.929 --> 00:55:12.920



were disappearing from the post-mortem blood. And we were able96900:55:12.960 --> 00:55:17.559



to demonstrate that compared to the nitazine present at death97000:55:17.679 --> 00:55:22.000



versus after the body had been stored in the fridge97100:55:22.019 --> 00:55:24.309



for a week, which is often how long it takes97200:55:24.329 --> 00:55:26.929



for a pathologist to get around to doing a post-mortem,97300:55:27.699 --> 00:55:30.070



Not that they're sitting just around doing nothing, they've got other,97400:55:30.329 --> 00:55:32.750



you know, a backlog of cases to get through. And97500:55:32.789 --> 00:55:36.130



then similarly, when they send that sample to the tox labs,97600:55:36.150 --> 00:55:39.570



they've got a backlog of samples to go through. And97700:55:40.230 --> 00:55:42.349



it's not unreasonable, it takes them sometimes a month to97800:55:42.369 --> 00:55:44.909



get to that sample. So after being in the body97900:55:45.250 --> 00:55:47.250



for a week and in the fridge for a month,98000:55:47.869 --> 00:55:52.630



only 14, 1.4% of the nitosine that was detected at98100:55:52.690 --> 00:55:56.340



point of death was left at point of analysis. And98200:55:56.360 --> 00:55:59.159



I've already said how potent these substances are. You don't98300:55:59.219 --> 00:56:03.619



need very much to prove fatal. And now if you98400:56:03.659 --> 00:56:06.510



only have 14% of not very much, that's going to98500:56:06.530 --> 00:56:09.409



be falling below the limits of detection of these toxicology98600:56:09.449 --> 00:56:15.389



machines and come back as a negative result for these nitrosines.98700:56:15.750 --> 00:56:19.320



Once again, don't buy drugs offline.98800:56:19.400 --> 00:56:21.900



That's the message of the show.98900:56:21.940 --> 00:56:25.380



So we're almost... You'll see the headlines. I think we're99000:56:25.420 --> 00:56:28.440



up to over a thousand people have been registered now99100:56:28.480 --> 00:56:35.269



as having died following nitazine use. Vast majority accidentally because99200:56:35.289 --> 00:56:38.590



they didn't know what they were taking. But the modelling99300:56:38.610 --> 00:56:41.489



that we've done suggests that figure might be an underestimate99400:56:41.550 --> 00:56:50.519



by about a third. And on that note... Yeah, essentially99500:56:50.639 --> 00:56:54.610



it's just drugs are really bad and awful and don't99600:56:54.650 --> 00:56:55.070



take them.99700:56:55.369 --> 00:56:58.550



Thank God you didn't throw that book away 15 years ago,99800:56:58.570 --> 00:57:00.889



whatever it was, eh? That's the message here.99900:57:01.409 --> 00:57:04.110



Oh, the file in drug deaths when you took over100000:57:04.150 --> 00:57:07.309



from Colin from accounts. Oh, yeah, well, yeah.100100:57:07.329 --> 00:57:11.719



Yeah, it was, yeah, Christine coming to find me and saying,100200:57:11.760 --> 00:57:14.960



you're not Colin. Yeah, I wouldn't be here if it100300:57:15.000 --> 00:57:17.039



wasn't for her looking for him and.100400:57:17.590 --> 00:57:19.010



And you've recessed the service.100500:57:19.389 --> 00:57:20.190



There we go.100600:57:20.530 --> 00:57:21.550



Yeah, indeed.100700:57:21.730 --> 00:57:24.219



Okay. Thanks all. A big thank you to Caroline for100800:57:24.239 --> 00:57:26.579



joining us on the Oral Apothecary, for sharing her stories,100900:57:26.619 --> 00:57:29.099



her Desert Island drug, her career anthem, and her book101000:57:29.159 --> 00:57:32.599



for the Oral Apothecary Library. Coming up next time, we'll101100:57:32.619 --> 00:57:37.139



be joined by the writer, broadcaster, and Guardian columnist, Adrian Childs.101200:57:37.920 --> 00:57:39.619



Join us next time on the Oral Apothecary. You can101300:57:39.679 --> 00:57:42.360



contact us via X at Oral Apothecary. You can follow101400:57:42.389 --> 00:57:47.610



us on LinkedIn. You can email us at oralapothecarypod at gmail.com.101500:57:47.829 --> 00:57:51.489



The website is there also. Gimo now with a final ingredient.101600:57:51.710 --> 00:57:52.050



Brilliant.101700:57:52.530 --> 00:57:55.269



So on social media, we are trying to make a101800:57:55.289 --> 00:57:57.070



bit more of an effort with LinkedIn. And I think101900:57:57.090 --> 00:58:00.090



we're even going to start posting on Instagram this year.102000:58:00.130 --> 00:58:02.489



So please have a look and make an effort to102100:58:02.530 --> 00:58:05.030



talk to us because we love it when people talk102200:58:05.050 --> 00:58:07.070



to us we might not reply straight away but but102300:58:07.090 --> 00:58:08.949



we do we do like it when people talk so102400:58:09.150 --> 00:58:12.909



um thanks caroline that that was fabulous um steve as102500:58:12.949 --> 00:58:16.289



a clinician can you help me out um so i've102600:58:16.349 --> 00:58:21.230



got sore itchy eyes um it happens after spending too102700:58:21.289 --> 00:58:24.389



long staring at a screen and when i rub them102800:58:24.449 --> 00:58:27.280



they've they've started to turn slightly pink have you got102900:58:27.300 --> 00:58:30.940



any any idea what what i've got conjunctivitis no i103000:58:30.960 --> 00:58:35.800



think i think i've got something called bix bix onomania Bixonomania.103100:58:36.239 --> 00:58:40.320



So it's a condition that's out there, but the problem103200:58:40.380 --> 00:58:45.780



is Bixonomania doesn't exist. And in fact, researchers invented the103300:58:45.820 --> 00:58:50.960



condition and then they planted two deliberately ridiculous papers online.103400:58:52.239 --> 00:58:56.340



In the papers, they mentioned fictional universities, thanked Starfleet Academy103500:58:56.400 --> 00:58:59.000



for their support, and they even admitted in one of103600:58:59.039 --> 00:59:02.880



the papers that the entire study was made up. But actually,103700:59:02.900 --> 00:59:07.590



as reported in a recent Nature feature, major AI chatbots103800:59:07.889 --> 00:59:12.210



began describing Bixonomania as a real illness, complete with symptoms,103900:59:12.389 --> 00:59:16.429



prevalence figures, and medical advice. The fake research was even104000:59:16.510 --> 00:59:20.719



cited in a genuine peer-reviewed paper, which has since been retracted.104100:59:21.880 --> 00:59:24.460



So it's a good reminder on our ongoing theme that104200:59:24.559 --> 00:59:29.309



AI can make mistakes, convincing language for reliable evidence. And104300:59:29.349 --> 00:59:33.690



the polished nonsense is still nonsense. It's a powerful reminder104400:59:33.710 --> 00:59:37.000



of the risks of trusting blindly the answers that AI104500:59:37.059 --> 00:59:39.380



give us. I did do a little follow-up when I104600:59:39.500 --> 00:59:44.039



asked ChatGPT about Bixonomania as a test. It did pass.104700:59:44.400 --> 00:59:46.739



It told me it was a fake condition. But actually,104800:59:46.760 --> 00:59:49.610



a little worryingly, it asked me who told me about it.104900:59:49.860 --> 00:59:52.409



So it was interested, wanted to find out who told me.105000:59:53.510 --> 00:59:55.690



So there we have it. Whether advice comes from a105100:59:55.710 --> 00:59:59.539



chatbot or a peer-reviewed paper, always check. the source.105201:00:00.119 --> 01:00:03.059



You have been listening to a Three Apothecaries production. Sound105301:00:03.119 --> 01:00:07.570



engineer Jimbo Slough, original music Jamie Brewster, artwork by David105401:00:07.619 --> 01:00:09.150



Baker and Jacob Howard.105501:00:09.730 --> 01:00:13.489



Thanks for listening to the Oral Apothecary podcast. For maximum effect,105601:00:14.010 --> 01:00:15.170



install weekly.105701:00:15.730 --> 01:00:20.460



This episode of the Oral Apothecary is sponsored by onelesspill.com,105801:00:20.960 --> 01:00:23.340



a medicines optimization consultancy.105901:00:26.380 --> 01:00:27.280



Thank you.