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Record W7106830260 · doi:10.14288/cjur.v6i2.194515

Psychotomimetic to Mind-Manifesting

2021· article· en· W7106830260 on OpenAlexaff

Bibliographic record

VenueOpen Collections · 2021
Typearticle
Languageen
FieldPsychology
TopicPsychedelics and Drug Studies
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsPsilocybinContext (archaeology)CriminalizationHallucinogenPsychotomimeticLysergic acid diethylamideAddiction

Abstract

fetched live from OpenAlex

Human use of psychedelic substances has been practiced for 5,700 years in social, religious and medicinal applications alike. Early pharmacological study of lysergic acid diethylamide (LSD) and other “classic psychedelics” psilocybin, mescaline, and N,N-dimethyltryptamine (DMT) suggested therapeutic potential for conditions such as anxiety and substance dependence. Additionally, research indicated that psychedelics were neither addictive nor toxic and appeared to produce several positive effects after a single dosing session. Criticisms of methodological shortcomings, alongside cultural stigma and criminalization, ultimately curtailed further scientific investigation of psychedelics in the context of psychotherapy. Despite marked historical hurdles, the recent resurgence of clinical examination involving psychedelics suggests the scientific community has begun to look beyond the stigmatization of such substances, and towards their therapeutic potential. Through a broad examination of early and contemporary clinical trials, this article explores the prospect of psychedelics as psychotherapy in the context of methodological, cultural, and political influences. This analysis outlines the historical evolution of psychedelic clinical investigation, with the aim of presenting the warranted and unbiased study of psychedelic-assisted psychotherapy in light of current public health demands. Keywords: psychedelic research, psychotherapy, psychopharmacology, controlled clinical trials, cultural stigma, substance criminalization

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, 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: Other · Consensus signal: Other
Teacher disagreement score0.046
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.001

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 head0.070
GPT teacher head0.399
Teacher spread0.329 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2021
Admission routes1
Has abstractyes

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