Evidence map›Paper›PMID 41787496›Full record

ArticleHarm reduction journal2026

Risk reduction behaviours following the detection of unexpected drugs through community drug checking: a cross-sectional study.

Samuel Tobias, Cameron Grant, Mark Lysyshyn, Perrine Roux, Evan Wood, Thomas Kerr, Lianping Ti

Abstract read
In one paragraph

Article in Harm reduction journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Samuel TobiasBritish Columbia Centre on Substance Use, 400-1190 Hornby Street, Vancouver, BC, V6Z 2K5, Canada.
Cameron GrantBritish Columbia Centre on Substance Use, 400-1190 Hornby Street, Vancouver, BC, V6Z 2K5, Canada.
Mark LysyshynSchool of Population and Public Health, University of British Columbia, 2206 East Mall, Vancouver, BC, V6T 1Z3, Canada.
Perrine RouxSciences Économiques et Sociales de la Santé & Traitement de l'information Médicale, Inserm, 19-21 Boulevard Jean Moulin, 13005, Marseille, France.
Evan WoodBritish Columbia Centre on Substance Use, 400-1190 Hornby Street, Vancouver, BC, V6Z 2K5, Canada.
Thomas KerrBritish Columbia Centre on Substance Use, 400-1190 Hornby Street, Vancouver, BC, V6Z 2K5, Canada.
Lianping TiBritish Columbia Centre on Substance Use, 400-1190 Hornby Street, Vancouver, BC, V6Z 2K5, Canada. bccsu-lt@bccsu.ubc.ca.

Funding

Evaluation of Drug Checking as a Novel Intervention to Address the Opioid Overdose Crisis Attributable to Fentanyl and its AnaloguesR01DA052381 · NIDA · UNIVERSITY OF BRITISH COLUMBIA · PI TI, LIANPING · 2021 to 2023
$1.4M
NIDA NIH HHS R01DA052381
6 · The paper itself

Abstract

backgroundCommunity-based drug checking services have scaled up in response to the unregulated drug toxicity crisis across North America. We sought to assess the relationship between the detection of unexpected active drugs in a drug checking sample and subsequent engagement in risk reduction practices.

methodsWe used data from a cross-sectional study of people who used community-based drug checking services in British Columbia, Canada (March 2020-July 2024). We constructed multivariable logistic regression models to examine the relationship between the detection of unexpected active drugs (i.e., compounds that have psychoactive properties) in samples brought for analysis (using combination Fourier-transform infrared spectroscopy and immunoassay strips) and engagement in subsequent risk reduction practices (e.g., dose reduction, disposal of the drug).

resultsIn total, 447 individuals were included: 174 (38.9%) reported detection of unexpected active drugs in their drug checking sample with the most common being benzodiazepines in expected opioid samples. The most common risk reduction behaviours were to dispose of the drug without using it (n = 24) and taking a smaller dose (n = 11). Through multivariable logistic regression, we found a positive association between detection of unexpected active drugs and engagement in risk reduction practices (adjusted odds ratio = 2.24; 95% confidence interval: 1.30-3.87).

conclusionIndividuals who detected unexpected active drugs in their sample had higher odds of engaging in risk reduction practices. These findings highlight the potential of drug checking services as a harm reduction tool within a suite of services offered to combat the unpredictable and unregulated drug supply.

Indexed as

Drug ContaminationHarm ReductionIllicit DrugsRisk Reduction BehaviorSubstance Abuse DetectionAdultBritish ColumbiaCross-Sectional StudiesFemaleHumansMaleIllicit DrugsBehaviour changeDrug adulterationDrug checkingHarm reductionIllicit drugs

Identifiers

PMID41787496
PMCPMC13078064

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.