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American Journal of Psychiatry

  • Volume 176
  • Number 2
  • February 2019

Editor’s Note

Editorials

Perspectives in Global Mental Health

Articles

Publication date: 03 October 2018

Pages98–106

Objective: Alcohol and cannabis misuse are related to impaired cognition. When inferring causality, four nonexclusive theoretical models can account for this association: 1) a common underlying vulnerability model; 2) a neuroplasticity model in which ...

https://doi.org/10.1176/appi.ajp.2018.18020202
AudioVideo

Mega-Analysis of Gray Matter Volume in Substance Dependence: General and Substance-Specific Regional Effects

Publication date: 19 October 2018

Pages119–128

Objective: Although lower brain volume has been routinely observed in individuals with substance dependence compared with nondependent control subjects, the brain regions exhibiting lower volume have not been consistent across studies. In addition, it is ...

https://doi.org/10.1176/appi.ajp.2018.17040415

Publication date: 19 October 2018

Pages129–137

Objective: The oral formulation of the opioid antagonist naltrexone has shown limited effectiveness for treatment of opioid use disorder due to poor adherence. Long-acting injection naltrexone (XR-naltrexone), administered monthly, circumvents the need for ...

https://doi.org/10.1176/appi.ajp.2018.17070732

Publication date: 29 November 2018

Pages138–145

Objective: The authors sought to clarify the etiology of the association between pregnancy and reduced risk of alcohol use disorder. Methods: The authors used data from longitudinal population-wide Swedish medical, pharmacy, and criminal registries to ...

https://doi.org/10.1176/appi.ajp.2018.18050632

Publication date: 11 December 2018

Pages146–155

Objective: Psychosocial stress is a key risk factor for substance abuse among adolescents. Recently, epigenetic processes such as DNA methylation have emerged as potential mechanisms that could mediate this relationship. The authors conducted a genome-wide ...

https://doi.org/10.1176/appi.ajp.2018.17121360

Publication date: 04 January 2019

Pages156–164

Objective: The authors sought to identify a brain-based predictor of cocaine abstinence by using connectome-based predictive modeling (CPM), a recently developed machine learning approach. CPM is a predictive tool and a method of identifying networks that ...

https://doi.org/10.1176/appi.ajp.2018.17101147

Letters to the Editor

Past Issues

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No.11
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1 Nov 2024

Vol. 181 | No. 11

No.10
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1 Oct 2024

Vol. 181 | No. 10

No.9
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1 Sep 2024

Vol. 181 | No. 9

No.8
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1 Aug 2024

Vol. 181 | No. 8