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Record W4406667242 · doi:10.1556/2054.2024.00431

Experiential dimension of psilocybin-assisted therapy training: Necessity or hindrance to wider accessibility?

2025· article· en· W4406667242 on OpenAlex
Louis Plourde, Sue-Ling Chang, Houman Farzin, Jean-François Stephan, Jean‐Sébastien Fallu, Michel Dorval

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Psychedelic Studies · 2025
Typearticle
Languageen
FieldPsychology
TopicPsychedelics and Drug Studies
Canadian institutionsCentre intégré de santé et de services sociaux de Chaudière-AppalachesJewish General HospitalUniversité de MontréalMcGill University Health CentreUniversité Laval
Fundersnot available
KeywordsPsilocybinExperiential learningDimension (graph theory)PsychotherapistPsychologyTraining (meteorology)HallucinogenPsychiatryPedagogyMathematics

Abstract

fetched live from OpenAlex

Abstract The discussion surrounding the necessity of acquiring personal experience of non-ordinary states of consciousness in the course of psilocybin-assisted therapy training is crucial, as it can affect treatment safety, effectiveness and accessibility. As such, the ethical and practical issues associated with such a training standard require timely consideration in jurisdictions where this intervention is endorsed and integrated into healthcare. We believe the most balanced and ethical approach is to make psilocybin legally available for professional training without making it a requirement.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.512
Threshold uncertainty score0.946

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.204
GPT teacher head0.493
Teacher spread0.288 · 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