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Record W3184286957 · doi:10.3389/fpsyt.2021.680626

The Ethic of Access: An AIDS Activist Won Public Access to Experimental Therapies, and This Must Now Extend to Psychedelics for Mental Illness

2021· article· en· W3184286957 on OpenAlexafffund
Morgan Campbell, Monnica T. Williams

Bibliographic record

VenueFrontiers in Psychiatry · 2021
Typearticle
Languageen
FieldPsychology
TopicPsychedelics and Drug Studies
Canadian institutionsUniversity of Ottawa
FundersCanadian Institutes of Health ResearchCanada Excellence Research Chairs, Government of CanadaCanada Research Chairs
KeywordsMental illnessPandemicPsychiatryPublic healthMental healthMedicinePsychologyCoronavirus disease 2019 (COVID-19)PsychotherapistNursingDiseaseInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

If patients with mental illnesses are to be treated fairly in comparison with other categories of patients, they must be given access to promising experimental therapies, including psychedelics. The right of early access to promising therapies was advanced as an ethical principle by activist Larry Kramer during the AIDS pandemic, and has now largely been adopted by the medical establishment. Patients are regularly granted access to experimental drugs for many illness categories, such as cancer and infectious diseases. The need for expanded access is especially relevant during evolving crises like the AIDS and the coronavirus pandemics. In contrast to non-psychiatric branches of medicine, psychiatry has failed to expedite access to promising drugs in the face of public health emergencies, psychological crises, the wishes of many patients, and the needs of the community. Psychiatry must catch up to the rest of medicine and allow the preferences of patients for access to guide policy and law regarding unapproved medications like psychedelics.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.010
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0080.034
Scholarly communication0.0100.011
Open science0.0010.008
Research integrity0.0090.015
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 head0.059
GPT teacher head0.398
Teacher spread0.339 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreCommentary

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

Citations10
Published2021
Admission routes2
Has abstractyes

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