Evidence map›Paper›PMID 42840548›Full record

ArticleFrontiers in psychiatry2026

Harm reduction vending machines as safer supply-supporting infrastructure.

Tessa Rife-Pennington

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Tessa Rife-PenningtonPharmacy Service, San Francisco Veterans Affairs (VA) Health Care System, San Francisco, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasingly unpredictable unregulated drug supply has intensified overdose morbidity and mortality and prompted growing interest in safer regulated supply as an upstream harm reduction strategy. Yet, safer supply programs cannot function effectively as stand-alone interventions. Their reach, acceptability, and equity will depend on surrounding infrastructure that supports people before enrollment, during transitions in substance use or dosing, and alongside ongoing use of unregulated substances. Harm reduction vending machines (HRVMs) are one low-barrier infrastructure model that can support safer supply ecosystems without conflating automated harm reduction supply distribution with regulated drug dispensing. Drawing on implementation experience from a Veteran-serving HRVM program across hospital, outpatient clinic, and permanent supportive housing settings, this article describes how HRVMs can expand access to drug checking supplies, naloxone, safer use materials, wound care and hygiene supplies, HIV and sexually transmitted infection prevention resources, and voluntary care linkage pathways while potentially reducing the need for face-to-face disclosure. Six HRVM infrastructure functions relevant to safer supply implementation are proposed: drug checking access, overdose prevention, safer use and wound care, health and wellness supplies, syndemic prevention, and noncoercive linkage to care. Design and evaluation considerations include privacy protection, product adaptability, co-design with people who use drugs, operational reliability, and the need to distinguish implementation metrics from clinical outcomes. Positioning HRVMs as safer supply-supporting infrastructure may help health systems, community programs, housing providers, and policymakers build more accessible, adaptive, and person-centered harm reduction ecosystems.

Indexed as

drug checkingharm reductionlinkage to carelow-barrier careoverdose preventionsafer supplysyndemic preventionvending machines

Identifiers

PMID42840548
PMCPMC13639284

What OpenQuestion holds

Textmetadata
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.