Evidence map›Paper›PMID 40437578›Full record

SynthesisHarm reduction journal2025

Vending machines for reducing harm associated with substance use and use disorders, and co-occurring conditions: a systematic review.

Alice Zhang, Matthew Carrillo, Ryan Liu, Sarah M Ballard, Alexis Reedy-Cooper, Aleksandra E Zgierska

Abstract readSystematic Review
In one paragraph

Synthesis in Harm reduction journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. 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

6 authors.

Alice ZhangDepartment of Family and Community Medicine, Penn State College of Medicine, Hershey, USA. azhang@pennstatehealth.psu.edu.
Matthew CarrilloDepartment of Public Health Sciences, Penn State College of Medicine, Hershey, USA.
Ryan LiuDepartment of Family and Community Medicine, Penn State College of Medicine, Hershey, USA.
Sarah M BallardDepartment of Neural and Behavioral Sciences, Penn State College of Medicine, Hershey, USA.
Alexis Reedy-CooperDepartment of Family and Community Medicine, Penn State College of Medicine, Hershey, USA.
Aleksandra E ZgierskaDepartment of Family and Community Medicine, Penn State College of Medicine, Hershey, USA.

Funding

Penn State Clinical and Translational Science InstituteUL1TR002014 · NCATS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI KRASCHNEWSKI, JENNIFER L. · 2016 to 2025
$33.7M
Penn State Institutional Career Development CoreKL2TR002015 · NCATS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI VAN SCOY, LAUREN JODI · 2016 to 2025
$7.8M
NCATS NIH HHS KL2 TR002015NCATS NIH HHS KL2 TR002015, UL1 TR002014NCATS NIH HHS UL1 TR002014
6 · The paper itself

Abstract

backgroundTo stem rising fatal overdoses and other substance use/use disorder (SUD)-related harms, communities are turning to low-barrier harm reduction strategies, such as harm reduction-focused vending machines (VMs) that distribute naloxone, fentanyl test strips, and other harm reduction-related items. This systematic review aims to synthesize literature on VMs for SUD-related harm reduction.

methodsFour databases (Embase, Cochrane, PubMed, MEDLINE) were searched from their inception through November 29, 2023. References of identified eligible articles and pertinent prior reviews were also searched for relevant eligible research articles describing VM's feasibility, acceptability, reach, and/or impact when used for SUD-related harm reduction. Data from eligible articles were systematically extracted and summarized.

resultsThe search found 45 eligible articles covering 30 separate studies involving 191,242 participants (190,576 VM users; 666 non-users). Most studies were conducted outside of the U.S. (n = 20), focused on individuals who injected drugs (n = 18), and evaluated syringe-dispensing VMs (n = 12). Of the 45 articles, the majority evaluated feasibility (n = 35), followed by acceptability (n = 21), impact (n = 17), and reach (n = 14). The feasibility-assessing articles noted high demand for VM-dispensed items, with usage mostly occurring outside of traditional business hours, and more syringes and HIV self-tests being dispensed compared to some in-person programs. The VMs were generally accepted by target populations, regardless of the items dispensed, and reached high-risk populations. Impact evaluation was limited and based on item dispensed. Seven articles examined the impact of syringe-dispensing VMs and described reductions in syringe sharing (n = 4) and drug use (n = 2), as well as stable or declining rates in drug use-related crime (n = 1). Articles evaluating the impact of HIV self-test-dispensing VMs (n = 3) described HIV detection rates ranging from 1.9% to 17.7%. Two articles reported reduced fatal overdoses after naloxone-dispensing VMs were implemented. DISCUSSION: VMs show promise as a low-barrier method for reducing SUD-related harm, decreasing health disparities, and engaging hard-to-reach populations. Future implementation science-based research is needed to assess VMs' impact on individual and community health outcomes, including overdose.

Indexed as

Harm ReductionSubstance-Related DisordersDrug OverdoseHumansNaloxoneNarcotic AntagonistsNaloxoneNarcotic AntagonistsAddictionCondomsDispensing machineHarm reductionHIV preventionOverdose preventionSubstance useSubstance use disorderSyringesVending machine

Identifiers

PMID40437578
PMCPMC12121115

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.