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Record W4381164174 · doi:10.12927/hcpol.2023.27048

Psychedelics to Relieve Psychological Suffering Associated with a Life-Threatening Diagnosis: Time for a Canadian Policy Discussion

2023· article· en· W4381164174 on OpenAlexaffvenueabout
Sarah Kratina, Christopher Lo, Carol Strıke, Robert Schwartz, Brian Rush

Bibliographic record

VenueHealthcare policy · 2023
Typearticle
Languageen
FieldPsychology
TopicPsychedelics and Drug Studies
Canadian institutionsCentre for Addiction and Mental HealthPublic Health OntarioUniversity of Toronto
Fundersnot available
KeywordsConversationIndigenousPsychologyNarrativePsychotherapistPublic policyMedicinePolitical scienceLawArt

Abstract

fetched live from OpenAlex

In Canada, the conversation to enable access to therapeutic psychedelics is under way. With recent federal initiatives, Canadians can request access to psychedelic-assisted therapies (PATs) to alleviate enduring and intolerable psychological suffering (EIPS) associated with life-threatening conditions on a case-by-case basis. The resurgence of past research concerning the therapeutic potential of PATs, promising preliminary results from contemporary clinical trials, public and media interest and the recognition of traditional Indigenous use of psychedelics have facilitated a change in the popular narrative around these stigmatized substances. A lack of access to PATs for treating EIPS, especially at end of life, is a public policy problem worth addressing.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.696
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.090
GPT teacher head0.430
Teacher spread0.340 · 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 designObservational
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

Citations8
Published2023
Admission routes3
Has abstractyes

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