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Updated: Nov 16, 2025

Brain Morphology of Cannabis Users With or Without Psychosis: A Pilot MRI Study
Published on: August 18, 2020
Cannabis Use and Mental Illness: Understanding Circuit Dysfunction Through Preclinical Models
Bryan W Jenkins1, Jibran Y Khokhar1
1Department of Biomedical Sciences, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada.
Preclinical models reveal shared neurobiological pathways linking serious mental illness and cannabis use disorder. This research explores how cannabis affects brain circuits in various mental health conditions, aiding new therapeutic target identification.
Area of Science:
- Neuroscience
- Psychiatry
- Pharmacology
Background:
- Patients with serious mental illness (SMI) exhibit higher cannabis use rates and cannabis use disorder (CUD) diagnoses.
- Cannabis psychoactivity is strongly associated with SMI symptoms, with debated therapeutic versus detrimental effects.
- Epidemiological and clinical studies face limitations in establishing causality and examining neurobiology.
Purpose of the Study:
- To review preclinical evidence on shared neurobiological mechanisms between CUD and SMI.
- To consolidate understanding of neural circuit disruptions.
- To generate novel hypotheses and identify therapeutic targets.
Main Methods:
- Review of preclinical studies using rodent models.
- Examination of cannabinoid exposure in healthy and psychiatrically ill rodents (schizophrenia, depression, bipolar disorder).
- Analysis of electrophysiological indices of neural circuit activity.
Main Results:
- Preclinical models demonstrate shared neurobiological underpinnings for CUD and SMI.
- Cannabis exposure impacts neural circuit activity in models of various mental illnesses.
- Evidence suggests specific neural circuits are affected by cannabinoids.
Conclusions:
- Preclinical animal models are crucial for understanding causal effects of cannabis constituents on mental illness.
- A consolidated, neural circuit-based perspective is emerging.
- This understanding can guide the development of novel therapeutic strategies for dual diagnoses.
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