Evidence map›Paper›PMID 41219887›Full record

ArticleHarm reduction journal2025

Willingness to use fentanyl test strips among street drug users in Puerto Rico: a cross-sectional study.

Liam Reyes Orlando, Héctor M Colón Jordán, Angélica M Rosario Santos

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Article in Harm reduction journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Liam Reyes Orlando1Department of Biostatistics and Epidemiology, Graduate School of Public Health, University of Puerto Rico, Medical Sciences Campus, PO Box 365067, San Juan, PR, 00936-5067, Puerto Rico. liam.reyes1@upr.edu.
Héctor M Colón Jordán1Department of Biostatistics and Epidemiology, Graduate School of Public Health, University of Puerto Rico, Medical Sciences Campus, PO Box 365067, San Juan, PR, 00936-5067, Puerto Rico.
Angélica M Rosario Santos1Department of Biostatistics and Epidemiology, Graduate School of Public Health, University of Puerto Rico, Medical Sciences Campus, PO Box 365067, San Juan, PR, 00936-5067, Puerto Rico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFentanyl contamination in illicit drug markets has significantly increased overdose risk in Puerto Rico and other regions. Fentanyl test strips (FTS) have emerged as a promising harm reduction tool. While several studies in the United States have examined FTS willingness and acceptability, research in Puerto Rico remains scarce. This study offers one of the first large-scale epidemiological assessments of willingness to use FTS among street-recruited drug users on the island.

methodsWe conducted a cross-sectional study of 400 street drug users recruited from syringe exchange programs in Puerto Rico between March and June 2024. Participants completed structured interviews assessing sociodemographic characteristics, substance use behaviors, overdose history, and program engagement. Willingness to use FTS was measured through a direct question and coded as a binary variable. Analyses included descriptive statistics, bivariate tests of independence, Bayes factors, logistic regression, and Bayesian Model Averaging (BMA).

resultsOverall willingness to use FTS was high (76.5%). Engagement in substance abuse treatment was strongly associated with willingness (OR = 3.09, 95% CI: 1.81-5.26, p < 0.001; Bayes Factor = 336.17). In contrast, severe substance use disorder (SUD) was negatively associated (OR = 0.36, 95% CI: 0.18-0.73, p = 0.005; Bayes Factor = 1.19). Other variables such as age, overdose history, or homelessness showed inconsistent or weak evidence. BMA confirmed treatment engagement (inclusion probability = 100%) and SUD severity (95.4%) as the most robust predictors, while age and other covariates had low inclusion probabilities, suggesting weaker evidence across models.

conclusionsWillingness to use FTS is high among Puerto Rican street drug users, especially among those engaged in substance abuse treatment. Lower willingness among individuals with severe SUD aligns with patterns reported in prior research, suggesting that higher levels of dependence may limit the perceived feasibility or utility of FTS. This underscores the need for low-threshold, tailored harm reduction strategies. These findings highlight both the promise and challenges of implementing drug-checking interventions in underserved, high-risk populations. As FTS are not currently available in Puerto Rico, expanding access through harm reduction and treatment programs should be a public health priority.

Indexed as

Drug UsersFentanylPatient Acceptance of Health CareReagent StripsAdultCross-Sectional StudiesDrug OverdoseFemaleHarm ReductionHumansMaleMiddle AgedPuerto RicoYoung AdultFentanylReagent Strips

Identifiers

PMID41219887
PMCPMC12607077

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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.