ArticleThe International journal on drug policy2026
Temporal and regional associations between fentanyl concentrations in the unregulated drug supply and drug-related mortality in British Columbia, Canada.
Article in The International journal on drug policy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- Fentanyl purity and overdose decline: A reexamination of geographic trends.Science advances · 2026Article
- Fentanyl Purity and Overdose Decline: A Reexamination of Geographic Trends.medRxiv : the preprint server for health sciences · 2026Article
- Safe Supply at Insite, North America's First Supervised Consumption Site: A Case Report of Reduced Harms From the Toxic Drug Supply in a Client Prescribed Powdered Fentanyl Alternative.Drug and alcohol review · 2026Article
- How population-level drug supply data are integrated into health outcomes research: a scoping review.Epidemiologic reviews · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
backgroundBritish Columbia (BC), Canada, continues to experience persistently high rates of unregulated drug toxicity. While the presence of fentanyl in the drug supply is well-established, less is known about how fluctuations in its concentration may influence mortality at the population level. This study describes geographic variation and temporal trends in fentanyl concentrations across BC and assesses if they are associated with unregulated drug toxicity rates.
methodsUsing a validated machine learning model that quantifies fentanyl and fluorofentanyl concentrations in unregulated opioid samples, we estimated concentrations in samples submitted to BC drug checking services from October 2018 to June 2025. We derived monthly median concentrations by geographic health service delivery area to determine historic monthly typical fentanyl strength. We then examined the relationship between fentanyl concentrations and unregulated drug toxicity mortality rates using a generalized additive mixed model (GAMM), accounting for regional heterogeneity, temporal trends, and autocorrelation.
resultsMedian fentanyl concentrations varied geographically and temporally across the province, peaking provincially at 11.0% in mid-2023 before declining to 5.1% in early 2025. The GAMM estimated that, on average, each 1-percentage point increase in median fentanyl concentration was associated with a 0.072 increase in the monthly drug-related mortality rate per 100,000 population (p = 0.029).
conclusionsQuantifying fentanyl concentrations from point-of-care drug checking data enables detection of geographic and temporal patterns in the unregulated drug supply and their associations with drug-related mortality. This approach offers a tool for harm reduction, drug supply monitoring, and policy response during the ongoing drug toxicity crisis.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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 OpenQuestion graph.