JAMA Psychiatry
December 6, 2023
Tammy Miller, Jeffrey LaPratt, Kimberly Swartz et al.
101 citations
A single 25 mg dose of synthetic psilocybin combined with psychotherapy produced rapid and sustained reductions in depression symptoms in people with bipolar II disorder who had not responded to at least two prior treatments. Fifteen participants completed the trial; depression scores on the Montgomery-Åsberg Depression Rating Scale dropped by an average of 24 points three weeks after dosing, and 12 of 15 met both response and remission criteria by the 12-week endpoint. Mania and suicide risk scores did not increase. The open-label design limits certainty, but the results suggest psilocybin may be safe and effective for bipolar II depression.
Psychopharmacology
August 22, 2023
Robert F. Dougherty, Patrick Clarke, Merve Atli et al.
21 citations
A machine learning model that analyzes language from therapy sessions can predict which patients with treatment-resistant depression will respond to psilocybin therapy. Researchers used a zero-shot classifier based on the BART large language model to measure sentiment (valence and arousal) in transcripts of therapist-patient conversations one day after COMP360 psilocybin administration. These sentiment scores, combined with the Emotional Breakthrough Index and treatment arm, were fed into multinomial logistic regression models. The models predicted responder status at week 3 and through week 12 with 85% and 88% accuracy, respectively, and AUC values of 88% and 85%. This approach could enable early identification of patients needing alternative treatments.
Psychedelic Medicine
January 20, 2025
Marianna Graziosi, Gabrielle Agin-Liebes, Mary P Cosimano et al.
9 citations
Psilocybin and other serotonergic psychedelics are used in research settings with safety measures including controlled environments, staff presence, screening, and psychoeducation. An analysis of study materials from psilocybin trials over the past two decades found that psychoeducation documents varied but commonly emphasized biological and physical safety, psychological safety and well-being, aspects of setting, and the potential for expectancies. The materials prioritized biological and psychological safety across all sites. The authors also identified elements unrelated to safety that may contribute to participant expectancies and suggest these extrapharmacological factors be studied systematically to maximize safety while minimizing extraneous expectancies.
September 30, 2022
Robert F. Dougherty, Patrick Clarke, Merve Alti et al.
3 citations
preprint
A machine learning model that analyzes language from therapy sessions accurately predicted which patients with treatment-resistant depression would respond to psilocybin treatment. Transcripts of psychological support sessions held one day after COMP360 (a synthetic psilocybin formulation) administration were analyzed using a zero-shot classifier based on the BART large language model to measure sentiment (valence and arousal) for both participant and therapist. These scores, combined with the Emotional Breakthrough Index and treatment arm, were used to predict treatment outcome measured by MADRS scores. Two multinomial logistic regression models predicted responder status at week 3 and through week 12 with 85% and 88% accuracy, and AUC values of 88% and 85%, respectively. The approach enables rapid prognostication of personalized response to psilocybin treatment and insights into therapeutic model optimization.
Med (New York, N.Y.)
March 8, 2024
Scott T. Aaronson, Zofia Kozak
1 citation
A flexible dosing schedule of psilocybin is feasible for individuals with severely treatment-resistant depression, including those with co-morbid conditions or bipolar II disorder, potentially expanding who can receive this treatment. The trial by Rosenblat et al. demonstrates that such patients, previously excluded from studies, can safely participate, suggesting a broader application of psilocybin therapy for complex depression cases.
JAMA Psychiatry
April 10, 2024
Scott T. Aaronson, Andrew van der Vaart, Harold A. Sackeïm
No Summary