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A Protocol for Measuring Cue Reactivity in a Rat Model of Cocaine Use Disorder
07:51

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Published on: June 18, 2018

Service utilization patterns in cocaine use disorder: A data-driven study.

Carlotta Riemerschmid1,2, Larissa Schwarzkopf1,3,4, Gabriele Koller2

  • 1IFT Institut für Therapieforschung, Centre for Mental Health and Addiction Research, Leopoldstrasse 175, Munich 80804, Germany.

Drug and Alcohol Dependence Reports
|June 8, 2026
PubMed
Summary
This summary is machine-generated.

This study identified three subgroups of individuals with cocaine use disorders (CoUD) in Berlin. Tailored outpatient addiction care strategies are needed to improve treatment effectiveness for diverse patient needs.

Keywords:
CocaineCocaine dependenceCocaine treatmentComorbidityLatent class analysisOutpatient addiction careSubstance use disorders

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Area of Science:

  • Addiction medicine
  • Psychiatry
  • Public health

Background:

  • Cocaine use disorders (CoUD) are increasingly common in European outpatient addiction care.
  • Berlin has particularly high prevalence rates of CoUD.
  • Understanding subgroups within CoUD patients is crucial for effective treatment.

Purpose of the Study:

  • To identify clinically meaningful subgroups among individuals seeking outpatient care for CoUD in Berlin.
  • To inform tailored treatment strategies for CoUD patients.
  • To analyze sociodemographic and treatment-related variables across identified subgroups.

Main Methods:

  • Latent class analysis (LCA) was used on person-level routine data (n=1223) from the Berlin Addiction Care Statistical Service.
  • Subgroups were identified based on patterns of substance use disorder (SUD) comorbidity and prior cocaine use.
  • Holm-Bonferroni adjusted group comparisons were applied to sociodemographic and treatment variables.

Main Results:

  • A three-class solution emerged: CoUD-only, CoUD+Alcohol Use Disorders (AUD), and CoUD+Multiple SUDs.
  • The CoUD+AUD group had higher employment and tertiary education rates.
  • The CoUD-only group had more first-time treatment entries but poorer outcomes (shorter duration, lower completion, less symptom improvement).
  • The CoUD+Multiple SUDs group had outcomes comparable to the CoUD-only group.

Conclusions:

  • Recognizing heterogeneity in CoUD patient needs is essential for effective care.
  • Tailored treatment approaches, including early interventions and integrated strategies for comorbid SUDs, can enhance outcomes.
  • Optimizing resource allocation in addiction services is possible through subgroup-specific strategies.