Evidence map›Paper›PMID 40081082›Full record

ArticleDrug and alcohol dependence2025

Detection of benzodiazepines in the unregulated drug supply using point of care and confirmatory drug checking technologies: A validation study.

Hannah Crepeault, Samuel Tobias, Jennifer Angelucci, Stephanie Dubland, Mark Lysyshyn, Evan Wood, Lianping Ti

Abstract readValidation Study
In one paragraph

Article in Drug and alcohol dependence, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Interpol review of forensic drug chemistry, 2022-2025.Forensic science international. Synergy · 2026
    Review
  2. Article
  3. Article
  4. 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.

Hannah CrepeaultBritish Columbia Centre on Substance Use, 400-1045 Howe Street, Vancouver, BC V6Z2A9, Canada.
Samuel TobiasBritish Columbia Centre on Substance Use, 400-1045 Howe Street, Vancouver, BC V6Z2A9, Canada; School of Population and Public Health, University of British Columbia, 2206 East Mall, Vancouver, BC V6T1Z3, Canada.
Jennifer AngelucciBritish Columbia Centre on Substance Use, 400-1045 Howe Street, Vancouver, BC V6Z2A9, Canada; School of Population and Public Health, University of British Columbia, 2206 East Mall, Vancouver, BC V6T1Z3, Canada.
Stephanie DublandDrug Analysis Service, Health Canada, 3155 Willingdon Green, Burnaby, BC V5G4P2, Canada.
Mark LysyshynVancouver Coastal Health Authority, 520 W 6th Ave, Vancouver, BC V5Y1L3, Canada.
Evan WoodBritish Columbia Centre on Substance Use, 400-1045 Howe Street, Vancouver, BC V6Z2A9, Canada; Department of Medicine, Faculty of Medicine, University of British Columbia, 317-2194 Health Sciences Mall, Vancouver, BC V6T1Z3, Canada.
Lianping TiBritish Columbia Centre on Substance Use, 400-1045 Howe Street, Vancouver, BC V6Z2A9, Canada; Department of Medicine, Faculty of Medicine, University of British Columbia, 317-2194 Health Sciences Mall, Vancouver, BC V6T1Z3, Canada. Electronic address: 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 R01 DA052381
6 · The paper itself

Abstract

objectiveBenzodiazepine adulteration in British Columbia's (BC) unregulated opioid supply has risen. Given the health risks associated with co-ingestion of opioids and benzodiazepines, accurate detection of benzodiazepines using point-of-care drug checking technologies is critical. This study aimed to validate the use of Fourier-transform infrared spectroscopy (FTIR) and benzodiazepine immunoassay strips compared to gold standard laboratory technologies.

methodsFrom October 2018 to November 2023, drug samples submitted to harm reduction sites in BC were analyzed using FTIR and benzodiazepine immunoassay strips. A subset of these samples was sent for confirmatory analysis using quantitative nuclear magnetic resonance spectroscopy, gas chromatography-mass spectrometry, and/or liquid chromatography-mass spectrometry. We calculated measures of diagnostic accuracy (e.g., sensitivity, specificity) for the point-of-care technologies.

resultsOf 1922 samples with point-of-care and confirmatory results, 390 (20 %) tested positive for a benzodiazepine. FTIR sensitivity was 26 % (95 % confidence interval [CI]:21-30 %) and specificity was 99 % (95 % CI:99-100 %). Immunoassay strip sensitivity was 67 % (95 % CI:62-72 %) and specificity was 82 % (95 % CI:79-85 %), respectively. When FTIR and immunoassay strip results were combined, sensitivity was 75 % (95 % CI:70-79 %) and specificity was 82 % (95 % CI: 79-84 %). When etizolam was excluded, the sensitivity and specificity of immunoassay strips were 98 % (95 % CI:94-99 %) and 83 % (95 % CI:81-86 %), respectively.

conclusionsFTIR did not consistently detect the presence of benzodiazepines and related compounds at point-of-care. However, sensitivity improved when FTIR was combined with immunoassay strips, underscoring the importance of using both technologies in tandem. As etizolam is not a true benzodiazepine, it poses considerable challenges using existing point-of-care drug checking technologies.

Indexed as

BenzodiazepinesDrug ContaminationPoint-of-Care SystemsSubstance Abuse DetectionBritish ColumbiaGas Chromatography-Mass SpectrometryHumansImmunoassayPoint-of-Care TestingSensitivity and SpecificitySpectroscopy, Fourier Transform InfraredBenzodiazepinesBenzodiazepinesConfirmatory analysisDrug CheckingFTIRImmunoassay stripsOpioids

Identifiers

PMID40081082
PMCPMC13211872

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.