With recent changes in drug legislation in the United States, more people than ever
are initiating cannabis use. Although the potential health benefits of cannabis are
beginning to be recognized, a growing and sizable number of people who use cannabis
do so chronically, and a third develop cannabis use disorder. The high prevalence
of chronic cannabis use and cannabis use disorder poses a significant burden on personal
and public health. The number of people seeking treatment for cannabis use is among
the highest of any substance use disorder, as are the rates of co-occurring mental
health concerns, including mood and psychotic disorders (
1
). As the availability and potency of cannabis continue to rise, there is an urgent
need to improve our understanding and prediction of the critical transition to chronic
and disordered cannabis use.To read this article in full you will need to make a payment
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Article info
Publication history
Accepted:
January 9,
2023
Received:
January 9,
2023
Identification
Copyright
© 2023 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.
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Access this article on ScienceDirectLinked Article
- An Interpretable and Predictive Connectivity-Based Neural Signature for Chronic Cannabis UseBiological Psychiatry: Cognitive Neuroscience and NeuroimagingVol. 8Issue 3
- PreviewCannabis is one of the most widely used substances in the world, with usage trending upward in recent years. However, although the psychiatric burden associated with maladaptive cannabis use has been well established, reliable and interpretable biomarkers associated with chronic use remain elusive. In this study, we combine large-scale functional magnetic resonance imaging with machine learning and network analysis and develop an interpretable decoding model that offers both accurate prediction and novel insights into chronic cannabis use.
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