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Record W4308146982 · doi:10.1056/nejmoa2206443

Single-Dose Psilocybin for a Treatment-Resistant Episode of Major Depression

2022· article· en· W4308146982 on OpenAlexaff
Guy M. Goodwin, Scott T. Aaronson, Oscar Alvarez, Peter C. Arden, Annie Baker, James Bennett, Catherine Bird, Renske E. Blom, Christine Brennan, Donna Brusch, Lisa Burke, Kete Campbell‐Coker, Robin Carhart‐Harris, Joseph Cattell, Aster Daniel, Charles DeBattista, Boadie W. Dunlop, Katherine Eisen, David Feifel, MacKenzie Forbes, Hannah M. Haumann, David J. Hellerstein, Astrid I. Hoppe, Muhammad Ishrat Husain, Luke A. Jelen, Jeanine Kamphuis, Julie Kawasaki, John R. Kelly, Richard E. Key, Ronit Kishon, Stéphanie Knatz Peck, Gemma Knight, Martijn H.B. Koolen, Melanie Lean, Rasmus Wentzer Licht, Jessica L. Maples‐Keller, Jan Mars, Lindsey Marwood, Martin McElhiney, Tammy Miller, Arvin Mirow, Sunil Mistry, Tanja Mletzko, Liam N. Modlin, René Ernst Nielsen, Elizabeth M. Nielson, Sjoerd R. Offerhaus, Veronica O’Keane, Tomáš Páleníček, David Printz, Marleen C. Rademaker, Aumer van Reemst, Frederick Reinholdt, Dimitris Repantis, James Rucker, Samuel Rudow, Simon Ruffell, A. John Rush, Robert A. Schoevers, Mathieu Seynaeve, Samantha Shao, Jair C. Soares, Metten Somers, S. C. Stansfield, Diane Sterling, Aaron Strockis, Joyce Tsai, Lucy Visser, Mourad Wahba, Samuel P. Williams, Allan H. Young, Paula Ywema, Sidney Zisook, Ekaterina Malievskaia

Bibliographic record

VenueNew England Journal of Medicine · 2022
Typearticle
Languageen
FieldPsychology
TopicPsychedelics and Drug Studies
Canadian institutionsUniversity of Toronto
FundersMedical Research CouncilNational Institute for Health and Care Research
KeywordsPsilocybinDepression (economics)HallucinogenMedicineTreatment-resistant depressionPsychiatryPsychologyAntidepressantAnxietyKeynesian economics

Abstract

fetched live from OpenAlex

BACKGROUND: Psilocybin is being studied for use in treatment-resistant depression. METHODS: In this phase 2 double-blind trial, we randomly assigned adults with treatment-resistant depression to receive a single dose of a proprietary, synthetic formulation of psilocybin at a dose of 25 mg, 10 mg, or 1 mg (control), along with psychological support. The primary end point was the change from baseline to week 3 in the total score on the Montgomery-Åsberg Depression Rating Scale (MADRS; range, 0 to 60, with higher scores indicating more severe depression). Secondary end points included response at week 3 (≥50% decrease from baseline in the MADRS total score), remission at week 3 (MADRS total score ≤10), and sustained response at 12 weeks (meeting response criteria at week 3 and all subsequent visits). RESULTS: A total of 79 participants were in the 25-mg group, 75 in the 10-mg group, and 79 in the 1-mg group. The mean MADRS total score at baseline was 32 or 33 in each group. Least-squares mean changes from baseline to week 3 in the score were -12.0 for 25 mg, -7.9 for 10 mg, and -5.4 for 1 mg; the difference between the 25-mg group and 1-mg group was -6.6 (95% confidence interval [CI], -10.2 to -2.9; P<0.001) and between the 10-mg group and 1-mg group was -2.5 (95% CI, -6.2 to 1.2; P = 0.18). In the 25-mg group, the incidences of response and remission at 3 weeks, but not sustained response at 12 weeks, were generally supportive of the primary results. Adverse events occurred in 179 of 233 participants (77%) and included headache, nausea, and dizziness. Suicidal ideation or behavior or self-injury occurred in all dose groups. CONCLUSIONS: In this phase 2 trial involving participants with treatment-resistant depression, psilocybin at a single dose of 25 mg, but not 10 mg, reduced depression scores significantly more than a 1-mg dose over a period of 3 weeks but was associated with adverse effects. Larger and longer trials, including comparison with existing treatments, are required to determine the efficacy and safety of psilocybin for this disorder. (Funded by COMPASS Pathfinder; EudraCT number, 2017-003288-36; ClinicalTrials.gov number, NCT03775200.).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.054
GPT teacher head0.347
Teacher spread0.293 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1,076
Published2022
Admission routes1
Has abstractyes

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