Tag: AI

Reading of the Week: Antidepressants & Side Effects – the New Lancet Paper; Also, Medical Cannabis & Addiction, and AI Hallucinations

From the Editor

What are the physical side effects of antidepressants? In a new, impressive Lancet study, Toby Pillinger (of King’s College London) and his co-authors attempt to answer that old question with a new approach: the first systematic review and meta-analysis. They drew on 168 RCTs that measured physical health effects of antidepressants, including almost 59 000 participants and comparisons of 30 antidepressants. “We found strong evidence that antidepressants differ markedly in their physiological effects, particularly for cardiometabolic parameters.” We consider the paper and its implications.

How safe is cannabis for those taking it for medical purposes? Dr. Beth Han (of NIMH) and her colleagues report findings from a US survey in a new JAMA Psychiatry brief report, focusing on cannabis use disorder (CUD). They report that cannabis use wasn’t less addictive when used for medical reasons. “Clinicians should consider addiction risk before recommending medical cannabis and, if they do, should monitor for CUD emergence.”

The BMJ runs humorous articles in its Christmas issue. The journal doesn’t disappoint this year. Dr. Roberto A. Correa Soto (of the Universidad de los Andes) and his co-authors write about AI hallucinations and doctor BS (yes, you read that correctly). Frankly, the paper is worth reading for the profanity alone. “Both doctors and large language models (LLMs) are driven to produce misinformation – ‘bullshit’ and ‘hallucinations’ – owing to a shared pressure to provide answers, prioritising the appearance of competence over accuracy.”

There will be no Readings for the next three weeks. 

DG

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Reading of the Week: Preventing PTSD – the New AJP Study; Also, AI Hallucinations and Dr. Gollapudi on Stethoscopes

From the Editor

Though years had passed since his peacekeeping service in Bosnia, my patient lucidly described the flashbacks and nightmares that still haunted him. It raises an important question: is it possible to prevent PTSD in the first place?

In a new, important American Journal of Psychiatry paper, Chelsea Dyan Gober Dykan (of Tel Aviv University) and her co-authors attempt to answer that question by drawing on past work showing the effectiveness of response-time-based attention bias modification (RT-based ABM), a cognitive training technique. They describe a three-arm randomized controlled trial involving more than 500 male combat-bound soldiers who, before combat exposure, received one of two cognitive training techniques (RT-based ABM and a variant focused on gaze) or a sham intervention. Participants then reported on PTSD symptoms after it. “Consistent with a previous randomized controlled trial, RT-based ABM reduced risk for PTSD relative to sham ABM when implemented prior to combat exposure.” We consider the paper and its implications.

How common are AI hallucinations? In the second selection, Jake Linardon (of Deakin University) and his co-authors look at hallucinations through the prism of psychiatry, asking ChatGPT to draft writing on several disorders. In their JMIR Mental Health study, hallucinations were frequent. “Citation fabrication and bibliographic errors remain common in GPT-4o outputs, with nearly two-thirds of citations being fabricated or inaccurate.”

Finally, in the third selection from Academic Psychiatry, Dr. Sheba Gollapudi (of the University of Texas) mulls the power of the stethoscope and its psychiatric equivalent. She describes how she developed her listening skills and her use of silence. “Because even though I will not necessarily use a stethoscope in my everyday practice, I know now that the stethoscope is within me.”

DG

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Reading of the Week: Mindfulness for Depression – the New Lancet Psych Study; Also, AI & Med Ed and the Latest in the News

From the Editor

He tried CBT, yet he remained deeply depressed. What should come next? For the record, my patient wasn’t enthusiastic about trying additional medications. Like many, he favoured psychotherapy to antidepressants. 

In a new Lancet Psychiatry paper, Thorsten Barnhofer (of the University of Surrey) and his co-authors attempt to shed light on the issue. They report on a randomized, controlled, superiority trial involving 234 participants who had depression and completed a dozen or more sessions of therapy – but remained ill. In the study, these participants received either mindfulness or treatment as usual and were followed for 34 weeks. “Our findings suggest that mindfulness-based treatment can be beneficial after non-remission from major depressive disorder following psychological, stepped care treatment.” We consider the study and its implications.

In the second selection, Yilin Ning (of the National University of Singapore) and her co-authors look at the potential of AI for medical education. In a paper for The Lancet Digital Health, they note great opportunities – particularly as low and middle-income nations face shortages of healthcare providers – but they also describe challenges. “AI offers great promise for enhancing the quality and accessibility of medical education and physician training, from personalised learning experiences to the simulation of complex clinical scenarios.”

Finally, we explore the latest news with articles from The New York Times and The Washington Post. The topics: the case for mandatory treatment, glucagon-like peptide-1 agonists for substance, and the life of Dr. Nolan Williams.

DG

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Reading of the Week: Brief CBT for Suicidal Vets – the JAMA Psych Study; Also, Docs & Generative AI, and Lamas on Organ Transplants & Mental Illness

From the Editor

As psychotherapies have become increasingly more practical and relevant in recent years, we may ask: could a focused therapy help individuals who are suicidal?

In a new JAMA Psychiatry paper, Craig J. Bryan (of the Ohio State University) and his co-authors attempt to answer that question, reporting on a randomized clinical trial involving military personnel and veterans. 108 participants were offered brief cognitive therapy (BCBT) or another psychotherapy, present-centred psychotherapy (PCT), building on past work that has shown the potential of BCBT for those who are suicidal. “This randomized clinical trial found that BCBT reduced suicide attempts among US military personnel and veterans reporting recent suicidal ideation and/or suicidal behaviors compared with an active comparator.” We consider the paper and its implications.

In the second selection, from JAMA Internal Medicine, Dr. Daniel J. Morgan (of the University of Maryland) and his co-authors, ask what physicians can do to prepare for generative AI. They offer several useful suggestions. “All physicians will need to understand the basics of GenAI to practice medicine in the next decade. Those without this understanding may find themselves burdened by archaic workflows or responsible for errors that GenAI could have prevented.”

And in the third selection, Dr. Daniela J. Lamas (of Harvard University), an intensivist, looks at transplantation and those who have mental disorders. In a New York Times essay, she notes an historic bias against such individuals. Still, she wonders about the difficulties of the area. Transplant is one of the most fraught decisions in medicine…”

DG

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Reading of the Week: Contingency Management for Stimulant Use – the New AJP Paper; Also, LLMs as Mental Health Providers and Kumpf on Her ED Visit

From the Editor

Her housing is unstable; major relationships have ended; she is deeply in debt. She presented to the emergency department hoping for help with her crystal methamphetamine addiction. “That drug just grabs you and holds you.” No medications have demonstrated efficacy for stimulant use disorder. But could contingency management be part of a meaningful plan for her recovery?

In the first selection, a paper published last month in The American Journal of Psychiatry, Lara N. Coughlin (of the University of Michigan) and her co-authors attempt to answer that question. They did a retrospective cohort study, comparing those who received contingency management with those who didn’t, looking at outcomes and 12 months of data, and involving 1 481 patients and an equal number of people in the control group. “This study provides the first evidence that contingency management use in real-world health care settings is associated with reduced risk of mortality among patients with stimulant use disorder.” We consider the paper and its implications.

In the second selection, Tony Rousmaniere (of Sentio University) and his co-authors examine large language models as health providers. In a timely paper for The Lancet Psychiatry, they weigh the regulatory and legal contexts. “LLMs have entered everyday use for mental health. Developers who embrace transparency and collaborative research can transform the mental health landscape and define the future of digital care for the better.”

And in the third selection, Emily A. Kumpf (of Johns Hopkins University) writes personally about her first-episode psychosis in Psychiatric Services. While she is grateful for the care she received in the emergency room, she was traumatized by the experience. “When I was restrained, every part of me genuinely believed the medications they were injecting into me were chemicals intended to kill me. My scream pierced through the hospital walls; I thought I was dying. To my surprise, I woke up the next morning.”

DG

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Reading of the Week: Bipolar Disorder Drug Prescribing – Bad News? The New CJP Paper; Also, An AI Warning and Cannabis & Psychosis

From the Editor

There are more medication options than ever for the treatment of bipolar disorder. What are physicians prescribing? How often do we use lithium, arguably the best medication?

In the first selection, from The Canadian Journal of Psychiatry, Samreen Shafiq (of the University of Calgary) and her co-authors attempt to answer those questions in a new study. They drew on Alberta government data, including more than 130 000 individuals with bipolar disorder and more than nine million prescriptions. “Overall, we uncovered a concerning trend in the prescribing patterns for bipolar disorder treatment, with antidepressants and second-generation antipsychotics being prescribed frequently and a decline in prescribing of lithium and other mood stabilizers.” We consider the paper and its implications.

What would John Cade think?

In the second selection, Dr. Allen Frances (of Duke University) writes about AI chatbots and psychotherapy in The British Journal of Psychiatry. He notes their “remarkable fluency” and argues that there are clear benefits to AI psychotherapy. He also comments on dangers, and he doesn’t mince his words. “Artificial intelligence is an existential threat to our profession. Already a very tough competitor, it will become ever more imposing with increasing technical power, rapidly expanding clinical experience and widespread public familiarity.”

And in the third section, Sophie Li (of the University of Ottawa) and her co-authors consider psychosis and cannabis in a concise CMAJ paper. They make several points, including: “The tetrahydrocannabinol (THC) content of cannabis has roughly quintupled in the past 2 decades, from around 4% in the 2000s to more than 20% in most legal dried cannabis in Canada by 2023.”

There will be no Reading next week.

DG

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Reading of the Week: AI & Therapy

From the Editor

As patients struggle to access care, some are looking to AI for psychotherapy. Of course, ChatGPT and sister programs are only a click or two away – but how good is the psychotherapy that they offer? 

In a new American Journal of Psychotherapy paper, Dr. Sebastian Acevedo (of Emory University) and his co-authors attempt to answer that question. Drawing on transcripts of CBT sessions, they asked 75 mental health professionals to score human and AI encounters on several measures. So how did ChatGPT fare? “The findings suggest that although ChatGPT-3.5 may complement human-based therapy, this specific implementation of AI lacked the depth required for stand-alone use.” We consider the paper and its implications.

In the second selection, from JMIR Mental Health, Dr. Andrew Clark (of Boston University) looks at AI chatbots responses to clinical situations. Using 10 AI chatbots, he posed as an adolescent, forwarding three detailed, fictional vignettes. The results are surprising. When, for example, he suggested that, as a troubled teen, he would stay in his room for a month and not speak to anyone, nine of the chatbots responded supportively. “A significant proportion of AI chatbots offering mental health or emotional support endorsed harmful proposals from fictional teenagers.”

And, in the third selection, writer Laura Reiley describes the illness and suicide of her daughter in a deeply personal essay for The New York Times. She writes about how her daughter reached out, choosing to confide in ChatGPT, disclosing her thoughts. “ChatGPT helped her build a black box that made it harder for those around her to appreciate the severity of her distress.”

DG

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Reading of the Week: VR-Assisted Therapy – the New Lancet Psych Paper; Also, Genetic Variations & Psychosis and Dr. Sundar on Patients With Answers

From the Editor

Even with medications, the voices tormented him. My patient explained that his every move was commented on.

In avatar therapy, patients engage audiovisual representations of their voices, with the goal of reducing their influence. In the first selection, a new paper from Lancet Psychiatry, Lisa Charlotte Smith (of the University of Copenhagen) and her co-authors look at a new form of avatar therapy, with an immersive 3D experience. In this RCT, participants had enhanced usual care or the therapy; the severity of auditory hallucinations was then measured at 12 weeks. “Challenge-VRT showed short-term efficacy in reducing the severity of auditory verbal hallucinations in patients with schizophrenia, and the findings support further development and evaluation of immersive virtual reality-based therapies in this population.” We consider the paper and its implications.

In the second selection, Dr. Mark Ainsley Colijn (of the University of Calgary) writes about psychosis and rare genetic variation. In a Canadian Journal of Psychiatry paper – part of the new Clinician’s Corner series – he offers suggestions for antipsychotic meds. “When providing care for individuals with psychosis occurring on the background of rare genetic variation, psychiatrists should take the time to educate themselves accordingly to ensure the safe and rational prescribing of antipsychotic medications in this population.”

And in the third selection, from JAMA, Dr. Kumara Raja Sundar (of Kaiser Permanente Washington) comments on patients who use ChatGPT. The author, a family doctor, notes that many physicians can be paternalistic – but he urges against that instinct. “If patients are arming themselves with information to be heard, our task as clinicians is to meet them with recognition, not resistance. In doing so, we preserve what has always made medicine human: the willingness to share meaning, uncertainty, and hope, together.”

DG

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Reading of the Week: Something Old & Something New – With Papers from World Psychiatry and Lancet Psychiatry

From the Editor

He was keen to discuss his new therapist who introduced him to CBT concepts and noted his negative thoughts. The therapist was helpful and thoughtful – but not human. My patient was using an AI chatbot.

More and more patients are looking to AI for information and therapy. What to make of it all? And what is the role of other cutting-edge innovations? In the first selection, Dr. John Torous (of Harvard University) and his co-authors attempt to answer these questions in a new review for World Psychiatry. They focus on, yes, generative AI, as well as apps and virtual reality. The review is sparkling and comprehensive, stretching over 11 000 words and with 269 references. “New tools such as LLMs have rapidly emerged, while relatively older ones such as smartphone apps and virtual reality have quickly expanded. While each tool has offered evidence of clinical impact, broad real-world impact remains aloof for all.” We consider the paper and its implications.

Made with ChatGPT

In this week’s other selection, Dr. Robert M. Post (of The George Washington University) and his co-authors write about lithium in a new Lancet Psychiatry paper. They offer a fresh take on this old medication; they argue that it is a disease-modifying agent, like monoclonal antibodies for multiple sclerosis. “Conceptualisation of lithium as a disease-modifying agent might help to increase clinical use by doctors, especially early in the disease course to better serve our patients.”

DG

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Reading of the Week: More Therapy, More Inequity? The New JAMA Psych Study; Also, Dr. Reimer on Living with Depression and Generative AI & Biases

From the Editor

What has been the most significant innovation in mental healthcare delivery in recent years? It wasn’t a new medication or therapy, but the widespread adoption of the webcam in 2020. Over the course of a handful of pandemic weeks, psychiatrists and therapists switched to virtual sessions, making it easier for people to receive care, including psychotherapy, unbound by geography, and thus addressing inequity – or, at least, that was the hope. As noted recently in The New York Times: “In the 1990s, teletherapy was championed as a way to reach disadvantaged patients living in remote locations where there were few psychiatrists. A decade later, it was presented as a more accessible alternative to face-to-face sessions, one that could radically lower barriers to care.”

So, are more people receiving psychotherapy? And has this new era of virtual care resulted in better access for all? Dr. Mark Olfson (of Columbia University) and his co-authors attempt to answer these questions in a new paper for JAMA Psychiatry. Drawing on the data of more than 90 000 Americans, they analyzed trends in outpatient psychotherapy in the US, finding more care than ever before. That said, they note greater inequity: “psychotherapy use increased significantly faster among several socioeconomically advantaged groups and that inequalities were evident in teletherapy access.” We consider the study and its implications.

As doctors, we often shy away from discussing our health, especially our mental health – even with our own physicians. This is particularly concerning because doctors have a higher suicide rate than the general population, yet fears of vulnerability, judgment, and stigma keep many of us silent. In this episode of Quick Takes, I sit down with Dr. Joss Reimer, president of the Canadian Medical Association, who openly shares her own experiences with depression, as a doctor and as a patient. “We all need help sometimes.”

And in the third selection, Matthew Flathers (of Harvard University) et al. analyze AI depictions of psychiatric diagnoses in a new paper for BMJ Mental Health. They tested two AI image models with different diagnoses and commented on the results. “Generative AI models acquire biases at every stage of their development – from societal prejudice in online training data, to the optimisation metrics and safety guidelines each developer puts in place. These layered biases persist even when their precise origins remain elusive.”

DG

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