Tag: AI

Reading of the Week: MST vs ECT – the New Lancet Psychiatry Paper; Also, the First AI Drug Prescriber and Dr. Taglienti on Her Cancer & Her Career

From the Editor

He began to respond to ECT and felt less depressed than he had in many years. But as the treatments continued, my patient noticed gaps in his memory including family vacations when his children were young. “Those memories are precious.” He stopped ECT and, soon after, was deeply depressed again. 

Smaller studies suggest that Magnetic Seizure Therapy (MST) – where alternating magnetic fields induce seizures – offers relief to patients without the cognitive problems of ECT. In a new study published by The Lancet Psychiatry, Dr. Daniel M. Blumberger (of the University of Toronto) and his co-authors add to the literature with the largest randomized trial comparing these convulsive therapies conducted and the first non-inferiority clinical trial to address efficacy. The study involved 239 participants with depression. “MST showed non-inferior efficacy relative to… ECT in achieving remission of depression, and a more favourable cognitive safety profile.” We consider the paper and its implications.

Should patients receive prescriptions from an AI prescriber? In the second selection, from JAMA, Dr. Daniel G. Aaron (of the University of Utah) and Christopher Robertson (of Boston University) look at a new Utah program allowing AI to prescribe medications without physician involvement. They are cool to the idea. “Although AI offers the promise of increased efficiency and expanded access, the evasion of legal obligations by early movers raises profound concerns. Incorporating AI into modern health care must be evidence based and responsible.”

And in the third selection, Dr. Jenna Taglienti (of Hofstra University) writes personally about her cancer in JAMA. As a psychiatrist and a residency program director, she finds meaning in her work – but illness helps her gain perspective. “Medicine can have extraordinary meaning. But it cannot substitute for being present in your own life.”

DG

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Reading of the Week: Mirtazapine for Methamphetamine – the New JAMA Psych Study; Also, Patients & AI and Delgaram-Nejad on His Meds

From the Editor

He occasionally used cannabis in his 20s and did not try crystal methamphetamine until after his 35th birthday. He readily admits to problematic use, undermining his relationship and leading to the loss of his job. In my office, he describes his desperation and asks: Is there a medication that could help?

In the first selection, a new paper published in JAMA Psychiatry, Rebecca McKetin (of the University of New South Wales) and her co-authors attempt to answer that question. In an impressive new study, they report the results of a phase 3, parallel-group, double-blind, placebo-controlled RCT involving 344 people with moderate or severe methamphetamine use disorder and a trial of mirtazapine or placebo. “The results of this randomized clinical trial confirm that mirtazapine can be used in routine clinical practice to facilitate a reduction in methamphetamine use among people with a moderate to severe methamphetamine use disorder.” We consider the paper and its implications.

In the second selection, Shaddy K. Saba and Dr. William B. Weeks (both of New York University) write on AI and patients. In a commentary for JAMA Psychiatry, the authors observe that an increasing number of patients are turning to AI and argue that clinicians need to become actively involved. “The question is not whether AI is good or bad for mental health: like many other patient behaviors, it can be both and depends on context. The question for clinicians is whether to help patients navigate its use.”

Finally, in the third selection from Schizophrenia Bulletin, Oliver Delgaram-Nejad – who has schizophrenia – discusses his decision to stop medication. Reviewing his episodes of psychosis, he argues that antipsychotics are too problematic for him. “I have weighed the benefits and risks, and navigated the rather painful tension, of remaining on an antipsychotic and living with the side effects versus accepting the risk of relapse and reclaiming my energy.”

DG

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Reading of the Week: Adolescent Mental Health With Papers on School-Based Mindfulness, Firearms & Youth Suicide, and GenAI

From the Editor

The MYRIAD Trial was ambitious, involving more than 8 300 adolescents at 84 schools, with the aim of preventing depression and improving mental well-being by teaching mindfulness through a universal school program. The only catch? There was no difference in outcomes at one year.

Would it be possible to identify adolescents who would benefit from mindfulness? Christian A. Webb (of Harvard University) and his co-authors attempt to answer that question, using AI. And so, a longstanding objective, prevention, was joined with a modern method, machine learning. In the first selection, a paper from JAMA Psychiatry, the authors detail a secondary analysis using two complementary machine learning approaches and the MYRIAD Trial data. “This study found that analyses using machine learning identified a subgroup of participants with a statistically detectable but clinically trivial differential intervention response. These findings highlight the substantial challenges in achieving clinically useful personalization in universal school-based prevention programs.” We consider the paper and its implications.

In the second selection, from the Journal of the American Academy of Child & Adolescent Psychiatry, Alison Athey (of Johns Hopkins University) and her co-authors evaluate the impact of child access prevention laws on youth suicide deaths by firearms. They drew on more than 30 years of mortality data from the Centers for Disease Control and Prevention. “Laws that require families to store firearms unloaded and secured in a locking device appear to effectively prevent youth suicide deaths and firearm-related youth deaths by accident and homicide.”

And in this week’s third selection, Dr. Scott Monteith (of Michigan State University) and his co-authors write about generative AI and adolescents for The British Journal of Psychiatry. They note a surge in use – some 80% of British teens use generative AI – and consider problems, from cyberbullying to mental healthcare. “There is a need to increase awareness of how GenAI may have a negative impact on the mental health of teenagers.”

DG

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Reading of the Week: AI Scribes in Primary Care – the New JAMA Psych Paper; Also, Antidepressant Prescribing and the Life & Death of Carol Sauer

From the Editor

More physicians are turning to AI scribes to free up time. But what is the impact on clinical care?

In a new JAMA Psychiatry paper, Victor M. Castro (of Harvard University) and his co-authors attempt to answer that question by looking at scribes in primary care. In a cohort study drawing on more than 20 000 routine annual visits, they compared documentation and management of neuropsychiatric symptoms. “Incorporation of AI ambient scribes in primary care was associated with greater levels of neuropsychiatric symptom documentation but lesser likelihood of documented management of psychiatric symptoms.” We consider the paper and its implications.

In the second selection, a letter published in The Canadian Journal of Psychiatry, Dionzie Ong (of the University of British Columbia) and her co-authors consider antidepressant prescribing and evidence, focusing on citalopram and escitalopram. “Preferential prescribing of escitalopram and claims of superiority are not supported by science.”

Finally, in the third selection, Washington Post reporter Dana Hedgpeth writes about the life and death of Carol Sauer, who spent years experiencing homelessness. She had graduated from high school, attended university, and held jobs until 2000, when she became ill. A person who read her death notice on social media comments: “I cried thinking about her. This beautiful woman sitting for 20 years at a bus stop and nobody could make a difference… It’s a reminder of the power and responsibility we have to help those who are homeless and mentally ill.” 

DG

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Reading of the Week: Yoga for Opioid Withdrawal? The New JAMA Psych Paper; Also, MAOIs & History, and AI-Associated Psychosis

From the Editor

Yoga is increasingly recognized as having a role in the treatment of those with mood and anxiety problems. But what about substance misuse?

In the first selection, from JAMA Psychiatry, Suddala Goutham (of the National Institute of Mental Health and Neurosciences, Bengaluru, India) and his co-authors attempt to answer that question in a new, early-stage randomized clinical trial. In the study, 59 men were randomized to yoga and buprenorphine or buprenorphine alone. “Those receiving yoga alongside standard buprenorphine treatment achieved withdrawal stabilization 4.4 times faster than controls (median, 5 vs 9 days) and showed significant improvements in heart rate variability, anxiety, sleep, and pain measures.” We consider the study and its implications.

In the second selection, from The Journal of Clinical Psychiatry, Vincent Van den Eynde (of Radboud University) and his co-authors write about the MAOI class of antidepressants. In a commentary paper, they argue that these medications are underappreciated. “We thus emphasize the need for renewed attention to the classic MAOIs in clinical practice and research.”

And in the third selection, Dr. Joseph M. Pierre (of the University of California, San Francisco) and his co-authors write about AI-associated psychosis for Innovations in Clinical Neuroscience. They discuss what they suggest is the first journal-published case report, detailing the struggles of a practicing medical professional. “Although multiple pre-existing risk factors may be associated with psychosis proneness, the sycophancy of AI chatbots together with AI chatbot immersion and deification on the part of users may represent particular red flags for the emergence of AI-associated psychosis.”

DG

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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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