A Systematic Review of Sex/Gender Differences in the Multi-dimensional Neurobiological Mechanisms in Addiction and Their Relevance to Impulsivity

Author:

Maxwell Andrea M.ORCID,Brucar Leyla R.ORCID,Zilverstand AnnaORCID

Funder

National Institute on Alcohol Abuse and Alcoholism

Publisher

Springer Science and Business Media LLC

Subject

Psychiatry and Mental health,Clinical Psychology

Reference111 articles.

1. Understanding Drug Overdoses and Deaths. [cited 5 Apr 2023]. Available: https://www.cdc.gov/drugoverdose/epidemic/index.html#:~:text=Overdose%20deaths%20remain%20a%20leading,have%20increased%20in%20recent%20years.

2. U.S. Department of Health and Human Services, Substance Abuse and Mental Health Services Administration, Center for Behavioral Health Statistics and Quality. National Survey on Drug Use and Health 2021. 4 Jan 2023. Available: https://www.samhsa.gov/data/report/2021-nsduh-annual-national-report

3. Rawls E, Kummerfeld E, Zilverstand A. An integrated multimodal model of alcohol use disorder generated by data-driven causal discovery analysis. Commun Biol. 2021;4:435. https://doi.org/10.1038/s42003-021-01955-z.

4. •• Maxwell AM, Harrison K, Rawls E, Zilverstand A. Gender differences in the psychosocial determinants underlying the onset and maintenance of alcohol use disorder. Front Neurosci. 2022;16:808776. https://doi.org/10.3389/fnins.2022.808776. A perspective piece that provided empirical evidence and a literature review on the gender-specific role of psychosocial factors in alcohol misuse and dependence.

5. •• Niklason GR, Rawls E, Ma S, Kummerfeld E, Maxwell AM, Brucar LR, et al. Explainable machine learning analysis reveals sex and gender differences in the phenotypic and neurobiological markers of Cannabis Use Disorder. Sci Rep. 2022;12:15624. https://doi.org/10.1038/s41598-022-19804-2. A machine learning analysis that demonstrated that environmental factors such as social support and education level play a larger role in cannabis misuse and dependence in women compared to men.

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