Evidence map›Paper›PMID 36978170›Full record

ArticleHarm reduction journal2023

Differences in drug use behaviors that impact overdose risk among individuals who do and do not use fentanyl test strips for drug checking.

Alyssa Shell Tilhou, Jen Zaborek, Amelia Baltes, Elizabeth Salisbury-Afshar, Julia Malicki, Randall Brown

Open access · goldAbstract read
In one paragraph

Article in Harm reduction journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
8.1field-weighted citation impact, top 2% of its field
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

21 citing papers in PubMed, 28 citations in OpenAlex.

  1. Interpol review of forensic drug chemistry, 2022-2025.Forensic science international. Synergy · 2026
    Review
  2. Assessment of Test Strips for Detection of Fentanyl in Powders.Prevention science : the official journal of the Society for Prevention Research · 2026
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  12. North America's fentanyl death crisis: Selected lessons for Europe's future?Nordisk alkohol- & narkotikatidskrift : NAT · 2024
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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

6 authors at 2 institutions in 1 country.

Alyssa Shell TilhouDepartment of Family Medicine, Boston Medical Center, Boston University, 771 Albany St.Dowling 5 South, Rm 5507A, Boston, MA, 02118, USA. alyssa.tilhou@bmc.org.
Jen ZaborekDepartment of Biostatistics & Medical Informatics, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA.
Amelia BaltesDepartment of Family Medicine and Community Health, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA.
Elizabeth Salisbury-AfsharDepartment of Family Medicine and Community Health, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA.
Julia MalickiDepartment of Family Medicine and Community Health, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA.
Randall BrownDepartment of Family Medicine and Community Health, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA.
University of Wisconsin–Madison · USBoston University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOpioid-involved overdose continues to rise, largely explained by fentanyl adulteration of the illicit opioid supply. Fentanyl test strips are a novel drug checking tool that can be used by people who use drugs to detect the presence of fentanyl in drug products. However, it is unclear whether fentanyl test strip use can prompt behavior changes that impact risk of overdose.

methodsIn this mixed-methods study involving a structured survey (n = 341) of syringe service program clients in southern Wisconsin, we examined the association between fentanyl test strip use and overdose risk behaviors in scenarios where the presence of fentanyl is confirmed and unknown. Individual items were transformed into summary scales representing the performance of riskier and safer behaviors. Linear regression examined the association of behaviors with FTS use. Models are adjusted for study site, race/ethnicity, age, gender, drug of choice, indicator of polysubstance use, times used per day, and lifetime overdose count.

resultsIn response to survey questions before prompting about fentanyl risk, people who used fentanyl test strips reported an increased number of safer (p = 0.001) as well as riskier behaviors (p = 0.018) relative to people who did not use fentanyl test strips. The same held true in situations when fentanyl adulteration was suspected, though fentanyl test strip use lost significance in the fully adjusted model examining safer behaviors (safer: p = 0.143; riskier: p = 0.004). Among people who use fentanyl test strips, in unadjusted models, a positive test result was associated with more safer behaviors and fewer riskier behaviors, but these associations became nonsignificant in fully adjusted models (safer: p = 0.998; riskier: p = 0.171). Loss of significance was largely due to the addition of either polysubstance use or age to the model.

conclusionsFentanyl test strip use is associated with behaviors that may impact overdose risk, including safer and riskier behaviors. Specifically, a positive test result may promote more risk reducing behaviors and fewer risk enhancing behaviors than a negative test result. Results suggest that while FTS may promote safer drug use behaviors, outreach and education should emphasize the need for multiple harm reduction techniques in all scenarios.

Indexed as

Drug OverdoseOpiate OverdoseSubstance-Related DisordersAnalgesics, OpioidFentanylHarm ReductionHumansAnalgesics, OpioidFentanylDrug testingFentanyl test strip (FTS)Harm reductionOpioidsOverdose risk

Identifiers

PMID36978170
PMCPMC10053743
OpenAlexW4361224100

What OpenQuestion 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 OpenQuestion graph.