Evidence map›Paper›PMID 42423117›Full record

ArticleCriminal behaviour and mental health : CBMH2026

Mental Health and Serious Drug Crime: A Case-Control Study.

Morten Hesse, Julie Elizabeth Brummer, Freja Ilsing Magnussen, Erik Simonsen, Thomas Friis Søgaard

Abstract read
In one paragraph

Article in Criminal behaviour and mental health : CBMH, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

5 authors.

Morten HesseCentre for Alcohol and Drug Research, Aarhus University, Aarhus, Denmark.
Julie Elizabeth BrummerCentre for Alcohol and Drug Research, Aarhus University, Aarhus, Denmark.ORCID https://orcid.org/0000-0002-4811-7430
Freja Ilsing MagnussenCentre for Alcohol and Drug Research, Aarhus University, Aarhus, Denmark.
Erik SimonsenDepartment of Clinical Medicine, Faculty of Health and Medical Sciences and Research Unit, Midt- and Vestsjællands Hospital, University of Copenhagen, Copenhagen, Denmark.ORCID https://orcid.org/0000-0002-6134-2392
Thomas Friis SøgaardCentre for Alcohol and Drug Research, Aarhus University, Aarhus, Denmark.

Funding

Aarhus Universitets Forskningsfond AUFF-E-2022-9-9
6 · The paper itself

Abstract

backgroundSerious drug crime involves a high level of risk and is often characterised as requiring a network of suitable and trustworthy collaborators. Although prior studies have focused on the importance of economic, social and work-related factors for involvement in such crime, there has been less research into the mental health of the people involved.

aimsTo assess the prevalence of mental disorders in a full nationwide cohort of individuals convicted of serious drug crimes in Denmark (2001-2020), who were born after 1984 and had a personal national identification number.

methodsWe compared four groups: large-scale serious drug crime offenders sentenced to ≥ 5 years' imprisonment (n = 232); moderate-scale serious drug crime offenders sentenced to under 5 years' imprisonment (n = 2955); offenders convicted only of small-scale drug offences, such as low-level supply, but never of serious drug crime (n = 7630); and sex- and age-matched general population controls who had never been convicted of a serious drug crime (n = 3187). Mental disorders were identified using hospital and pharmacy registers.

resultsThe adjusted prevalence of any mental disorder was similar across offender groups (large-scale: 32%, 95% CI [27%-38%]; moderate-scale: 36%, 95% CI [34%-38%]; small-scale: 36%, 95% CI [35%-37%]) and, in all three groups, was substantially higher than among controls (23%, 95% CI [22%-25%]). A similar pattern was observed for specific disorders.

conclusionsOur results challenge the assumption that engagement in serious drug crime requires skills and behaviours that are incompatible with having a mental disorder. We conclude that people with serious drug crime convictions are as likely as minor drug offenders to need mental health services and that people with mental disorders are vulnerable to recruitment into serious drug crime.

Indexed as

CrimeCriminalsMental DisordersAdultCase-Control StudiesDenmarkFemaleHumansMaleMiddle AgedPrevalenceSubstance-Related Disordersdrug crimedrug tradingmental healthpsychiatric disordersregister data

Identifiers

PMID42423117
PMCPMC13432923

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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.