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Record W4206900896 · doi:10.21203/rs.3.rs-1241397/v1

Expert Opinion on Psychedelic-Assisted Psychotherapy for People with Psychotic Symptoms

2022· preprint· en· W4206900896 on OpenAlex
Joseph T. La Torre, Mehdi Mahammadli, Kyle T. Greenway, Monnica T. Williams

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueResearch Square · 2022
Typepreprint
Languageen
FieldPsychology
TopicPsychedelics and Drug Studies
Canadian institutionsMcGill UniversityUniversity of Ottawa
FundersCanadian Institutes of Health ResearchCanada Research ChairsUsona Institute
KeywordsPsychotherapistPsychologyClinical psychologyAlliancePsychiatryPsilocybinQuality of life (healthcare)Expert opinionMedicineHallucinogen

Abstract

fetched live from OpenAlex

<title>Abstract</title> Background Currently, personal or familial histories of psychotic symptoms are exclusionary criteria for most psychedelic clinical trials, studies, and treatment programs. This study sought to determine why such an exclusion exists, what the implications of the exclusion criteria are, and if there was agreement in expert opinion. Methods In-depth interviews with 12 experts in the fields of psychiatry, clinical psychology, medicine, and the effects of psychedelics and entheogens were conducted in an expert consultation format. Interviews were transcribed and themes were produced using an Interpretative Phenomenological Analysis (IPA) approach. Results We found that while the exclusion criteria may be justified for psychedelic protocols that provide insufficient psychological support for participants, there was agreement that psychedelic-assisted psychotherapy is not necessarily contraindicated for all individuals with psychotic symptoms. Results suggest that highly supportive psychedelic-assisted psychotherapy may be of benefit to individuals experiencing symptoms of psychosis. Potentially relevant factors for predicting treatment outcomes include specific symptom endorsement, illness duration, symptom severity, quality of the therapeutic alliance, role of trauma in symptom etiology and perpetuation, and the level of other supports in the life of the client.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.527
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.159
GPT teacher head0.506
Teacher spread0.347 · 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