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Record W4404602449 · doi:10.1017/s1092852924002141

The historical opposition to psychedelic research and implications for credibility in psychiatry

2024· review· en· W4404602449 on OpenAlexaff
Elena Koning, Elvina Chu, Elisa Brietzke

Bibliographic record

VenueCNS Spectrums · 2024
Typereview
Languageen
FieldPsychology
TopicPsychedelics and Drug Studies
Canadian institutionsQueen's University
Fundersnot available
KeywordsEnthusiasmOpposition (politics)CountercultureConsciousnessCredibilityPsychologyPerceptionPsychotherapistPsychiatryPolitical sciencePoliticsSocial psychologyNeuroscienceLaw

Abstract

fetched live from OpenAlex

Psychedelics are a group of psychoactive substances that alter consciousness and produce marked shifts in sensory perception, cognition, and mood. Although psychedelics have been used by indigenous communities for centuries, they have only recently been investigated as an adjunctive therapeutic tool in psychotherapy. Since the early twentieth century, psychedelic-assisted psychotherapy has been explored for the treatment of several neuropsychiatric conditions characterized by rigid thought patterns and treatment resistance. However, this rapidly emerging field of neuroscience has evolved alongside opposition in several areas, including the affiliation with mid-twentieth century counterculture movements, media sensationalization, legislative restriction, and scientific criticisms such as "breaking the blind" and "excessive enthusiasm." This perspective article explores the historical opposition to psychedelic research and the implications for the credibility of the field. In the midst of psychedelic drug policy reform, drawing lessons from historical events will contribute to clinical research efforts in psychiatry.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.579
Threshold uncertainty score0.931

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 integrity0.0000.001
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 head0.353
GPT teacher head0.556
Teacher spread0.203 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations4
Published2024
Admission routes1
Has abstractyes

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