Post-traumatic stress comorbidity in substance use disorder: machine learning analyses of phenotypic drivers.

IF 6.6 1区医学 Q1 NEUROSCIENCES

Neuropsychopharmacology Pub Date : 2024-11-01 DOI:10.1038/s41386-024-01969-1

David C Houghton, Heidi M Spratt

引用次数: 0

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药物使用障碍中的创伤后应激合并症：表型驱动因素的机器学习分析。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Neuropsychopharmacology 医学-精神病学

CiteScore

15.00

自引率

2.60%

发文量

240

审稿时长

2 months

期刊介绍： Neuropsychopharmacology is a reputable international scientific journal that serves as the official publication of the American College of Neuropsychopharmacology (ACNP). The journal's primary focus is on research that enhances our knowledge of the brain and behavior, with a particular emphasis on the molecular, cellular, physiological, and psychological aspects of substances that affect the central nervous system (CNS). It also aims to identify new molecular targets for the development of future drugs. The journal prioritizes original research reports, but it also welcomes mini-reviews and perspectives, which are often solicited by the editorial office. These types of articles provide valuable insights and syntheses of current research trends and future directions in the field of neuroscience and pharmacology.