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Related Experiment Video

Updated: Oct 23, 2025

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Executive Function and Contingency Management in Methamphetamine Use Disorder.

Lara J van Nunen1, Marilyn T Lake1,2, Jonathan C Ipser1

  • 1Department of Psychiatry and Mental Health, University of Cape Town, Neuroscience Institute, South Africa.

Journal of Alcoholism and Drug Dependence
|August 23, 2021
PubMed
Summary
This summary is machine-generated.

Executive function tests at baseline may predict treatment success for individuals with methamphetamine use disorder (MUD). Poorer performance on these tests indicates a lower likelihood of responding to contingency management interventions.

Keywords:
Contingency managementExecutive functionMethamphetamine use disorder

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Area of Science:

  • Neuroscience
  • Psychiatry
  • Addiction Medicine

Background:

  • Methamphetamine Use Disorder (MUD) poses significant public health challenges.
  • Contingency management (CM) shows promise for treating MUD.
  • Impaired executive function may hinder treatment adherence and outcomes in MUD.

Purpose of the Study:

  • To investigate if baseline executive function predicts treatment response to CM in MUD.
  • To assess the utility of executive function tests in identifying individuals likely to benefit from CM.

Main Methods:

  • Thirty MUD participants and 23 healthy controls completed the Connors Continuous Performance Task (CPT) and Trail Making Task.
  • MUD participants underwent an 8-week CM trial.
  • Participants were classified as responders or non-responders based on urine test results.

Main Results:

  • MUD participants exhibited poorer performance on the CPT compared to controls.
  • Non-responders to CM showed significantly worse performance on the CPT and Trail Making Task B compared to responders.
  • While not significantly different from controls, Trail Making Task B performance varied, with non-responders performing worse.

Conclusions:

  • Baseline executive function assessments may aid in predicting CM treatment response for MUD.
  • These findings support the potential for personalized treatment approaches in MUD based on cognitive function.