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Updated: Jun 7, 2025

Chronic Intermittent Ethanol Vapor Exposure Paired with Two-Bottle Choice to Model Alcohol Use Disorder
Published on: June 23, 2023
Cannabinoid for alcohol use disorder
Júlia Dalfovo Marquez1, Talissa Dezanetti1, Roger Walz2
1Programa de Pós-Graduação em Neurociências, Universidade Federal de Santa Catarina (UFSC), Florianópolis, Brazil.
Cannabis and alcohol combined may pose risks, but cannabinoid compounds show potential for treating alcohol use disorder (AUD). Research explores both the benefits and dangers of this combination for AUD treatment.
Area of Science:
- Neuroscience
- Pharmacology
- Addiction Medicine
Background:
- The endocannabinoid system influences brain reward pathways and drug abuse.
- Cannabinoid receptors (CB1 and CB2) may modulate addiction properties.
- Cannabis and alcohol are frequently co-used, with potential implications for alcohol use disorder (AUD).
Purpose of the Study:
- To review evidence on the benefits and risks of combining alcohol and cannabis.
- To explore the therapeutic potential of cannabinoid compounds for AUD.
- To address the growing availability of cannabis due to legalization.
Main Methods:
- Literature review of existing studies on cannabis, alcohol, and the endocannabinoid system.
- Analysis of research on the co-use of alcohol and cannabis.
- Examination of preclinical and clinical data regarding cannabinoid therapies for AUD.
Main Results:
- Some evidence suggests cannabis may aid AUD treatment, acting as a substitute medication.
- Concomitant use of alcohol and cannabis can increase the risk of adverse outcomes.
- Cannabinoid compounds show promise, but risks associated with combined use require careful consideration.
Conclusions:
- The combination of alcohol and cannabis presents both potential therapeutic avenues and significant risks for AUD.
- Further research is needed to clarify the precise role of cannabinoids in AUD treatment and to mitigate risks of co-use.
- Cannabinoid-based therapies warrant investigation for AUD, balancing potential benefits against known risks.
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