Opioid and Cannabinoid Interaction
Opioid and cannabinoid signals cooperate in the brain and peripheral tissues to regulate the processing of painful and rewarding stimuli as well as other physiological processes. Studies in animal models are revealing mechanisms through which endogenous and exogenous cannabinoids modulate opioid analgesia, opioid addiction and opioid withdrawal, while emerging clinical and epidemiological data point to intriguing, potentially useful interactions between the opioid and cannabinoid systems.
This article collection will be published in Cannabis and Cannabinoid Research. It will highlight the important, and exciting, new avenues for future research in the exploration of opioid and cannabinoid interaction.
The Journal will accept a wide variety of articles on opioid and cannabinoid interaction. Some potential topics include:
- Cannabinoid-opioid system cross-talk
- Implications of cannabinoid-induced alterations in opioid function
- Cannabinoid-induced decreases in opiate withdraw expression
- Insights into potential cannabinoid-opioid therapeutic targets from the clinic
- Concurrent cannabis and opioid use
- Cannabis use during treatment for opioid dependence
Contributions will receive prompt and thorough peer review and will be published in the Journal after acceptance. Please refer to our Instructions for Authors before submitting your manuscript for consideration.
Cannabis and Cannabinoid Research is the only peer-reviewed open access journal dedicated to the scientific, medical, and psychosocial exploration of clinical cannabis, cannabinoids, and the endocannabinoid system. The Journal is published in collaboration with the International Cannabinoid Research Society and International Association for Cannabinoid Medicines.
Benefits of Publishing in Cannabis and Cannabinoid Research:
- High visibility, immediate and unrestricted online access to published articles
- Rigorous and rapid peer review
- Easy compliance with open access mandates
- Authors retain copyright
- Highly indexed – citation tracking and inclusion in bibliographic databases
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