Evidence map›Paper›PMID 42538530›Full record

ArticleSubstance abuse treatment, prevention, and policy2026

Unemployment & opioid use disorder - socio-medical assessment results by the Medical Service of the German Federal Employment Agency.

Michael Soyka, Kirsi Manz, Andreas G Franke

Abstract read
In one paragraph

Article in Substance abuse treatment, prevention, and policy, 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

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Michael SoykaPsychiatric Hospital, University of Munich, Nußbaumstr. 7, 80336, Munich, Germany. Michael.soyka@med.uni-muenchen.de.
Kirsi ManzDepartment of Hematology, Hemostasis, Oncology and Cell Therapy, Hannover Medical School (MHH), Hannover, Germany.
Andreas G FrankeUniversity of Applied Labour Studies, Federal Employment Agency, Mannheim, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe interrelationship between unemployment and substance use disorders, especially opioid use disorders, is complex, and basic epidemiological data are lacking both in Germany and elsewhere. This study aimed to evaluate the prevalence rates of opioid use disorder, work ability, and associated factors among unemployed individuals with opioid use disorder who underwent socio-medical assessment by the Medical Service (MS) of the Federal Employment Agency (FEA).

methodsAll socio-medical assessments conducted between 2016 and 2021 (N = 4,249,028) were extracted from the FEA database and analyzed with respect to relevant sociodemographic characteristics, opioid use disorder (ICD-10 F11.x diagnosis) and work ability. Descriptive statistics were used to summarize the data.

resultsA total of 4,249,028 unemployed individuals were assessed. Of these, 22,683 clients (0.5%) met an F11.x diagnosis (primary or secondary); mostly opioid dependence (N = 20,506; 94.3%). The number of diagnoses increased over time (2016-2021). Mean age was 40.7 ± 9.4 years. Overall, 15,065 (73.5%) were male and 5,441 (26.5%) were female. For individuals with a secondary diagnosis of F11.x, most frequent psychiatric comorbidities were alcohol dependence (27.8%), polysubstance use (17.6%), schizophrenia (8.8%), depression episode (8.3%) or recurrent depression (5.9%) and persistent pain disorder (6.1%). Regarding daily work capacity, 58.3% (n = 11,962) of individuals were able to work less than 3 h per day, 10.0% (n = 2,051) were able to work 3-6 h per day, and 17.4% (n = 3,568) were able to work more than 6 h per day.

conclusionsThe number of unemployed individuals with opioid dependence in Germany has increased over time, and most are unable to work more than three hours per day. The most frequent psychiatric comorbidities were other substance use disorders, particularly alcohol use disorder, schizophrenia, and depression. Somatic comorbidities, with the exception of chronic viral hepatitis, were recorded less frequently. Tailored interventions and closer collaboration between employment agencies and mental health care providers are needed to improve the psychosocial integration of this population.

Indexed as

Opioid-Related DisordersUnemploymentAdultFemaleGermanyHumansMaleMiddle AgedPrevalenceComorbidityMental health disordersOpioid dependenceOpioid use disorderPsychiatric disorderUnemployment

Identifiers

PMID42538530
PMCPMC13428436

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