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Record W6904824557 · doi:10.14288/1.0448250

Assessing options for poppers policy in Canada : A call to action for evidence-based policy reform

2025· article· en· W6904824557 on OpenAlexaboutno aff

Bibliographic record

VenueOpen Collections · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicEffects and risks of endocrine disrupting chemicals
Canadian institutionsnot available
Fundersnot available
KeywordsLegislatureLegislationPublic healthEquity (law)Harm reductionAmyl nitritePrescription drug

Abstract

fetched live from OpenAlex

When inhaled, poppers products (alkyl nitrites) relax smooth muscle tissue and produce a pleasant “rush.” As such, they are used by some gay, bisexual, and other men who have sex with men (sexual minority men), including during anal intercourse. In 2013, Health Canada cracked down on poppers sales by introducing threats of fines and imprisonment and seizing poppers in stores and at the border. While no new legislation was introduced, Health Canada takes the position that poppers fall within the definition of a “drug” under the Food and Drugs Act because they “modify organic function” in humans. This crackdown has not prevented poppers use and has added harms related to an illicit and unregulated drug supply. In an effort to reduce harms and advance more equitable and public health-centred approaches to poppers drug policy, we discuss how a series of anticipated outcomes (accessibility, equity, consumer safety, commercial feasibility, and stigma) relate to the following alternative approaches to regulation: (1) poppers as a prescription medicine; (2) poppers as a non-prescription drug (likely accessible ‘over-thecounter’); (3) poppers as a consumer product rather than just a medicine; and (4) ending the crackdown without legislative changes. To improve health equity and reduce harms among sexual minority men in a way that is politically and commercially feasible, we recommend the last approach—ending the crackdown without legislative changes—including ceasing the confiscation of poppers products in stores and at the border.

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)0.001
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.576
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.046
GPT teacher head0.436
Teacher spread0.390 · 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
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

Citations0
Published2025
Admission routes1
Has abstractyes

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