Cannabis Addiction and the Brain: a Review
Autor: | Peter Manza, Corinde E. Wiers, Nora D. Volkow, Amna Zehra, Jamie Burns, Christopher Kure Liu, Gene-Jack Wang |
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Rok vydání: | 2018 |
Předmět: |
Marijuana Abuse
medicine.medical_specialty Drugs of abuse THC Dopamine media_common.quotation_subject Immunology Influential Publications MEDLINE Neuroscience (miscellaneous) Marijuana Smoking 03 medical and health sciences 0302 clinical medicine Receptor Cannabinoid CB1 medicine Animals Humans Immunology and Allergy Psychiatry Substance use disorders Effects of cannabis Cannabis media_common Cannabis use disorder Pharmacology Invited Review biology business.industry Addiction Brain Cannabis use medicine.disease biology.organism_classification Magnetic Resonance Imaging Marijuana 030227 psychiatry Behavior Addictive Substance abuse Risk perception Nerve Net Psychology business Reinforcement Psychology 030217 neurology & neurosurgery |
Zdroj: | Journal of Neuroimmune Pharmacology |
ISSN: | 1557-1904 1557-1890 |
DOI: | 10.1007/s11481-018-9782-9 |
Popis: | Cannabis is the most commonly used substance of abuse in the United States after alcohol and tobacco. With a recent increase in the rates of cannabis use disorder (CUD) and a decrease in the perceived risk of cannabis use, it is imperative to assess the addictive potential of cannabis. Here we evaluate cannabis use through the neurobiological model of addiction proposed by Koob and Volkow. The model proposes that repeated substance abuse drives neurobiological changes in the brain that can be separated into three distinct stages, each of which perpetuates the cycle of addiction. Here we review previous research on the acute and long-term effects of cannabis use on the brain and behavior, and find that the three-stage framework of addiction applies to CUD in a manner similar to other drugs of abuse, albeit with some slight differences. These findings highlight the urgent need to conduct research that elucidates specific neurobiological changes associated with CUD in humans. |
Databáze: | OpenAIRE |
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