Evidence map›Paper›PMID 40962827›Full record

ArticleCommunications medicine2025

A national cohort study of long-term opioid prescription and sociodemographic and health care-related risk factors.

Cecilia Krüger, Johan Franck, Härje Widing, Jonas Hällgren, Mika Gissler, Jeanette Westman

Abstract read
In one paragraph

Article in Communications medicine, 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. 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.

Cecilia KrügerDepartment of Neurobiology, Care sciences and Society, Karolinska Institutet, Huddinge, Sweden. cecilia.kruger@ki.se.ORCID http://orcid.org/0000-0002-3716-5752
Johan FranckThe Stockholm Centre for Dependency Disorders, Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden.
Härje WidingThe Stockholm Centre for Dependency Disorders, Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden.
Jonas HällgrenAcademic Primary Care Centre, Region Stockholm, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-1658-9345
Mika GisslerAcademic Primary Care Centre, Region Stockholm, Stockholm, Sweden.ORCID http://orcid.org/0000-0001-8254-7525
Jeanette WestmanDepartment of Neurobiology, Care sciences and Society, Karolinska Institutet, Huddinge, Sweden.

Funding

Forskningsrådet om Hälsa, Arbetsliv och Välfärd (Swedish Research Council for Health, Working Life and Welfare) 2020-00467Forskningsrådet om Hälsa, Arbetsliv och Välfärd (Swedish Research Council for Health, Working Life and Welfare) 2024-0267
6 · The paper itself

Abstract

backgroundOpioids are essential medicines for pain management; however, long-term use is associated with negative outcomes, including addiction. The aim of the study was to analyze the risk of long-term use after an initial opioid prescription and examine associated sociodemographic and health care-related risk factors.

methodsWe identified a strictly defined, five-year opioid-naïve population of adults aged 18-64 years who received an initial opioid prescription between 2016 and 2020 in Swedish national registers. We modeled the association between individual characteristics and odds of long-term ( > 3 months) versus short-term ( ≤ 3 months) use, and odds of different durations of use ( > 3-6, >6-12, and >12 months) using logistic regression analyses.

resultsOf 754,982 opioid-naïve individuals with an initial opioid prescription, 8.1% use opioids long-term. Individuals treated for a recent external injury have lower odds of long-term opioid use (e.g., >12 vs ≤3 months: OR 0.55, 95% CI 0.52-0.59), whereas those who initiated treatment in primary care have higher odds (e.g., >12 vs ≤3 months: OR 3.02, 95% CI 2.90-3.14). Individuals with a history of substance use disorders and greater use of psycholeptic drugs have higher odds of long-term use. Sociodemographic factors, including older age, lower education level, and not cohabiting are also associated with longer durations of use.

conclusionsOf opioid-naïve individuals, 8.1% develop long-term prescription opioid use, with higher odds among individuals with psychiatric history and whose opioid treatment initiated in primary care. Careful evaluation of patient health and regular follow-up are essential to reduce the risk of long-term opioid use.

Identifiers

PMID40962827
PMCPMC12443973

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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.