Evidence map›Paper›PMID 36846574›Full record

ArticleDrug and alcohol dependence reports2022

Perspectives of people in Philadelphia who use fentanyl/heroin adulterated with the animal tranquilizer xylazine; Making a case for xylazine test strips.

Megan K Reed, Nicholas S Imperato, Jeanette M Bowles, Venise J Salcedo, Amanda Guth, Kristin L Rising

Abstract read
In one paragraph

Article in Drug and alcohol dependence reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 citing papers in PubMed.

  1. Interpol review of forensic drug chemistry, 2022-2025.Forensic science international. Synergy · 2026
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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.

Megan K ReedDepartment of Emergency Medicine, Sidney Kimmel Medical College, Thomas Jefferson University, 1015 Walnut Street, Curtis Building, Suite 704, Philadelphia, PS 19107, United States.
Nicholas S ImperatoCollege of Population Health, Thomas Jefferson University, Philadelphia, PS, United States.
Jeanette M BowlesCentre on Drug Policy Evaluation, St. Michael's Hospital, Toronto, ON, Canada.
Venise J SalcedoCenter for Connected Care, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PS, United States.
Amanda GuthCenter for Connected Care, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PS, United States.
Kristin L RisingDepartment of Emergency Medicine, Sidney Kimmel Medical College, Thomas Jefferson University, 1015 Walnut Street, Curtis Building, Suite 704, Philadelphia, PS 19107, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Xylazine is an animal tranquilizer increasingly detected in those who have died of an opioid overdose in Philadelphia, PA and elsewhere. Despite an increasing presence of xylazine in the local fentanyl/heroin drug market and its association with ulcers, there are few perspectives about xylazine from people who use drugs and no data about the utility of a hypothetical xylazine test strip. Methods: Between January to May 2021 in Philadelphia, PA, people who used fentanyl/heroin and had previously used fentanyl test strips were queried about xylazine and hypothetical xylazine test strips. Interviews were transcribed and analysis was conducted via conventional content analysis. Results: Participants (7 spontaneously, 6 after probing, Conclusions: In the present study, people who use fentanyl/heroin indicated an interest to test their drug for the presence of xylazine prior to use.

Indexed as

PWUD, people who use drugs

Identifiers

PMID36846574
PMCPMC9949306

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.