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Record W4407728103 · doi:10.1136/gpsych-2024-101894

Expanded access to psychedelic treatments: comparing American and Canadian policies

2025· article· en· W4407728103 on OpenAlexfundaboutno aff
Jérémie Richard, Albert Garcia‐Romeu, Jack E. Henningfield

Bibliographic record

VenueGeneral Psychiatry · 2025
Typearticle
Languageen
FieldPsychology
TopicPsychedelics and Drug Studies
Canadian institutionsnot available
FundersCanadian Institutes of Health Research
KeywordsPsychologyPolitical science

Abstract

fetched live from OpenAlex

The United States Food and Drug Administration’s (FDA’s) August 2024 determination that an additional phase III study will be required to consider the approval of midomafetamine for the treatment of post-traumatic stress disorder (PTSD) could delay the potential approval of this promising treatment by several years.1 In principle, the FDA’s expanded access pathway could enable broader access to investigational treatments as clinical trials continue. However, this alternative pathway is so burdensome that few patients are likely to benefit. Adoption of elements based on the Canadian model to expanded access may help more patients gain access to psychedelic therapy while simultaneously providing data about safety and efficacy for the FDA to consider in future reviews of these treatment approaches.

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)0.010
metaresearch head score (Gemma)0.049
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.933
Threshold uncertainty score0.488

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.049
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.008
Science and technology studies0.0050.003
Scholarly communication0.0070.003
Open science0.0020.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0160.000

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 head0.041
GPT teacher head0.396
Teacher spread0.355 · 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 designQualitative
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

Citations7
Published2025
Admission routes2
Has abstractyes

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