Evidence map›Paper›PMID 37569026›Full record

ArticleInternational journal of environmental research and public health2023

Considerations for Purchasing Drug Checking Technologies: Perspectives from Toronto's Drug Checking Service.

Hayley Thompson, Karen McDonald

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 21% of its field
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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Interpol review of forensic drug chemistry, 2022-2025.Forensic science international. Synergy · 2026
    Review
  2. Article
  3. 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

2 authors at 1 institution in 1 country.

Hayley ThompsonToronto's Drug Checking Service, Centre on Drug Policy Evaluation, St. Michael's Hospital, Unity Health Toronto, 30 Bond Street, Toronto, ON M5B 1W8, Canada.
Karen McDonaldToronto's Drug Checking Service, Centre on Drug Policy Evaluation, St. Michael's Hospital, Unity Health Toronto, 30 Bond Street, Toronto, ON M5B 1W8, Canada.
St. Michael's Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the unregulated drug supply-particularly the unregulated opioid supply-becoming increasingly more toxic, more contaminated, and less predictable, drug checking has emerged as an essential public health service: informing individuals who use drugs, as well as those who care and advocate for them, in real-time. For those looking to offer drug checking services in community settings, choosing a technology can be an arduous task. With very little regulatory oversight of drug checking technologies, it can be difficult for organizations that specialize in harm reduction to ascertain what questions to ask drug checking technology vendors to ensure they invest in a technology that best suits the needs of their community. Looking to help those that lack drug checking and technical expertise, Toronto's Drug Checking Service has compiled a list of questions to equip organizations to make informed decisions when it comes to purchasing drug checking technologies. Having developed and operated a drug checking service since 2018, Toronto's Drug Checking Service is uniquely positioned to share its expertise and insights.

Indexed as

Analgesics, OpioidPharmaceutical ServicesHarm ReductionHumansTechnologyAnalgesics, Opioiddrug checkingdrug checking technologiesharm reduction

Identifiers

PMID37569026
PMCPMC10418928
OpenAlexW4385416826

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.