Evidence map›Paper›PMID 40045004›Full record

ArticleCanadian journal of public health = Revue canadienne de sante publique2025

Sur la route des surdoses: un portrait canadien.

André-Anne Parent, Antoine Bertrand-Deschênes

Abstract read
In one paragraph

Article in Canadian journal of public health = Revue canadienne de sante publique, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Responding to the toxic drug crisis: Promising innovations, gaps, and calls to action.Canadian journal of public health = Revue canadienne de sante publique · 2025
    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.

André-Anne ParentUniversité de Montréal, Montréal, Québec, Canada. andre-anne.parent@umontreal.ca.ORCID 0000-0001-5572-7563
Antoine Bertrand-DeschênesUniversité de Montréal, Montréal, Québec, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe overdose crisis continues to grow in Canada, and those involved in intervention must innovate to propose solutions. This exploratory research aims to paint a portrait of the situation, understand prevention efforts, and hear the experiences of people who have lived an overdose and those who intervene in this context.

methodsA qualitative, descriptive-interpretive approach was adopted. Data collection took place in 2021 and 2022 in four Canadian provinces and 11 cities. A variety of data collection methods were used, including a logbook, periods of participant observation, and semi-structured interviews with 39 caregivers, 10 peer caregivers, and 11 service users. A thematic analysis of the material was carried out.

resultsMobilizing Nancy Fraser's critical theory, our results present an inequitable distribution of resources, the exclusion of representation mechanisms, and institutionalized denials of recognition. Several interventions implemented in response to overdoses or transformed to better address the crisis are identified. We situate them according to the recognition and redistribution of solutions, whether more corrective or more radical.

conclusionStructural reforms aimed at improving the recognition and redistribution of resources are essential if interventions are to retain their innovative potential in the context of the overdose crisis, while being part of a longer-term aim of social transformation.

Indexed as

Drug OverdoseAdultCanadaCaregiversFemaleHumansMaleMiddle AgedQualitative ResearchInterventionOverdose crisisRecognitionRedistribution

Identifiers

PMID40045004
PMCPMC12382333

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.