Related Experiment Video
Updated: Sep 16, 2025

04:11
A Conditioned Place Preference Protocol for Measuring Incubation of Craving in Rats
Published on: November 6, 2018
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Craving, Impulsivity, and Subsequent Methamphetamine Use With Naltrexone-Bupropion Versus Placebo: Findings From a
Journal of Addiction Medicine
|July 7, 2025
Summary
Higher craving and impulsivity predict methamphetamine use. Understanding these factors can help optimize treatment for methamphetamine use disorder (MUD) with naltrexone and bupropion.
Area of Science:
- Clinical Psychology
- Psychopharmacology
- Addiction Medicine
Background:
- Methamphetamine use disorder (MUD) is a significant public health concern.
- Pharmacotherapy, including extended-release injectable naltrexone (NTX) and oral bupropion (BUP), shows promise for MUD treatment.
- Predictors of treatment response in MUD require further investigation.
Purpose of the Study:
- To determine if craving and impulsivity levels predict subsequent methamphetamine use in individuals undergoing pharmacotherapy.
- To analyze the secondary outcomes of the Accelerated Development of Additive Pharmacotherapy Treatment (ADAPT-2) trial.
Main Methods:
- Secondary analysis of 357 participants from the ADAPT-2 trial.
- Inclusion criteria: at least one transition in urine drug screen (UDS) status during the first 6 weeks.
- Craving assessed via Visual Analog Scale (VAS); impulsivity via the Concise Health Risk Tracking (CHRT) Scale.
Main Results:
- Higher craving levels were associated with a lower likelihood of transitioning from positive to negative UDS in both NTX-BUP and placebo groups.
- Impulsivity also significantly affected the probability of positive-to-negative UDS transition.
- Individuals with lower craving and higher impulsivity had a reduced chance of negative UDS transition.
Conclusions:
- Craving and impulsivity are significant predictors of treatment outcomes in MUD.
- Further research is needed to optimize NTX-BUP treatment by considering the roles of craving and impulsivity.
- These findings can inform personalized treatment strategies for MUD.
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