Evidence map›Paper›PMID 39305808›Full record

Trial reportDrug and alcohol dependence2024

Prevalence and correlates of fentanyl test strip use among people who use drugs in Rhode Island.

Jacqueline E Goldman, Carolyn J Park, Julia Trombley, Ju Nyeong Park, Jane A Buxton, Scott E Hadland, Alexandria Macmadu, Brandon Dl Marshall

Abstract readClinical Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Drug and alcohol dependence, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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
  5. 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

8 authors.

Jacqueline E GoldmanDepartment of Epidemiology, Brown University School of Public Health, 121 South Main Street, Box G-S-121-2, Providence, RI 02912, USA.
Carolyn J ParkDepartment of Epidemiology, Brown University School of Public Health, 121 South Main Street, Box G-S-121-2, Providence, RI 02912, USA.
Julia TrombleyDepartment of Epidemiology, Brown University School of Public Health, 121 South Main Street, Box G-S-121-2, Providence, RI 02912, USA.
Ju Nyeong ParkDepartment of Health, Behavior, and Society, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA; Division of General Internal Medicine, Warren Alpert Medical School, Brown University, Providence, RI, USA; Center of Biomedical Research Excellent on Opioids and Overdose, Rhode Island Hospital, Providence, RI, USA.
Jane A BuxtonSchool of Population and Public Health, Faculty of Medicine, The University of British Columbia, Vancouver, British Columbia, Canada; British Columbia Centre for Disease Control, Vancouver, British Columbia, Canada.
Scott E HadlandDivision of Adolescent and Young Adult Medicine, Mass General for Children, Boston, USA; Department of Pediatrics, Harvard Medical School, Boston, USA.
Alexandria MacmaduDepartment of Epidemiology, Brown University School of Public Health, 121 South Main Street, Box G-S-121-2, Providence, RI 02912, USA.
Brandon Dl MarshallDepartment of Epidemiology, Brown University School of Public Health, 121 South Main Street, Box G-S-121-2, Providence, RI 02912, USA. Electronic address: brandon_marshall@brown.edu.

Funding

The Rhode Island Young Adult Prescription and Illicit Drug Study (RAPIDS): Responding to Fentanyl and Associated HarmsR01DA047975 · NIDA · BROWN UNIVERSITY · PI MARSHALL, BRANDON DAVID LEWIS · 2019 to 2023
$3.8M
NIDA NIH HHS R01 DA047975
6 · The paper itself

Abstract

backgroundIllicitly manufactured fentanyl accounts for a majority of overdose fatalities in the US. Research has demonstrated that fentanyl test strips (FTS) help people who use drugs (PWUD) avoid unintended exposure to fentanyl and overdose. This study assesses characteristics associated with FTS use among PWUD in Rhode Island. Such findings may shed light on whether there are subgroups of PWUD who are less likely to be using FTS and therefore may benefit from their use.

methodsFrom September 2020 - February 2023, participants were recruited to participate in RAPIDS, a clinical trial assessing whether FTS provision can reduce overdose rates. Baseline data were used to assess correlates of lifetime FTS use through bivariable and multivariable analyses. We also examined drug testing patterns relating to FTS use in the past month.

resultsOf 509 people enrolled, 376 (73.9 %) had heard of FTS before enrollment. Among this group, 189 (50.3 %) reported lifetime FTS use and 98 (26.1 %) reported use in the last month. In bivariable analyses, lifetime injection drug use, responding to an overdose, and drug selling were associated with FTS use. Solitary drug use was not associated with FTS uptake. In the multivariable analysis, gender and lifetime naloxone administration were associated with FTS use. Of those who used FTS in the past month, 76.5 % had at least one test that was positive for fentanyl.

conclusionsWe found high uptake of FTS use among PWUD in Rhode Island. Our results also suggest a need for targeted outreach to increase FTS uptake among sub-groups of PWUD. CLINICAL

trial registrationThe Rhode Island Prescription and Illicit Drug Study is a registered clinical trial, NCT043722838.

Indexed as

FentanylAdultDrug OverdoseDrug UsersFemaleHumansMaleMiddle AgedOpioid-Related DisordersPrevalenceReagent StripsRhode IslandSubstance Abuse DetectionYoung AdultFentanylReagent StripsFentanyl test stripsHarm reductionOverdose preventionPoly-substance drug use

Identifiers

PMID39305808
PMCPMC11527559

What OpenQuestion holds

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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.