3 years ago

Reconsidering depression as a risk factor for substance use disorder: Insights from rodent models

Depression and substance use disorder (SUD) often co-exist and are typically associated with an inaccurate diagnosis, worsened clinical course and poor medication adherence compared to either disorder alone. To date, the biological mechanisms contributing to their strong association remain largely unknown. In this review, we critically analyze preclinical literature on psychostimulant drugs and reconsider the common view that depression is a risk factor for drug use and the development of SUD. Unexpectedly, this investigation led us to conclude that depressive-like states in rodents are associated with a low predisposition to drug intake, at least when considering initial, voluntary and regulated psychostimulant intake. We identified several conceptual gaps and methodological challenges potentially misleading when modeling depression and SUD comorbidity. On the basis of these observations, we propose new innovative perspectives to guide future experiments and advance our knowledge in this field, including the use of newly refined rodent models that better capture hallmarks of depression and SUD.

Publisher URL: www.sciencedirect.com/science

DOI: S0149763416306996

You might also like
Discover & Discuss Important Research

Keeping up-to-date with research can feel impossible, with papers being published faster than you'll ever be able to read them. That's where Researcher comes in: we're simplifying discovery and making important discussions happen. With over 19,000 sources, including peer-reviewed journals, preprints, blogs, universities, podcasts and Live events across 10 research areas, you'll never miss what's important to you. It's like social media, but better. Oh, and we should mention - it's free.

  • Download from Google Play
  • Download from App Store
  • Download from AppInChina

Researcher displays publicly available abstracts and doesn’t host any full article content. If the content is open access, we will direct clicks from the abstracts to the publisher website and display the PDF copy on our platform. Clicks to view the full text will be directed to the publisher website, where only users with subscriptions or access through their institution are able to view the full article.