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Cited by 373

The DOI matches its Crossref record; 124 of the 124 references it cites were found in a registry or an index.

The effects of Δ9-tetrahydrocannabinol on the dopamine system

Open access
Bloomfield, Michael A. P., Ashok, Abhishekh H., Volkow, Nora D., Howes, Oliver D.·2016·Nature

Abstract

The effects of Δ9-tetrahydrocannabinol (THC), the main psychoactive ingredient in cannabis, are a pressing concern for global mental health. Patterns of cannabis use are changing drastically owing to legalization, the availability of synthetic analogues (commonly termed spice), cannavaping and an emphasis on the purported therapeutic effects of cannabis. Many of the reinforcing effects of THC are mediated by the dopamine system. Owing to the complexity of the cannabinoid–dopamine interactions that take place, there is conflicting evidence from human and animal studies concerning the effects of THC on the dopamine system. Acute THC administration causes increased dopamine release and neuron activity, whereas long-term use is associated with blunting of the dopamine system. Future research must examine the long-term and developmental dopaminergic effects of THC.

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Crossref · 10.1038/nature20153

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Metadata

Authors
Bloomfield, M. A. P., Ashok, A. H., Volkow, N. D., & Howes, O. D.
Venue
Nature
Published
2016-11
Volume
539
Issue
7629
Pages
369-377
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W2554987321
Cited by
373
References
124
FWCI
17.47
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The effects of Δ9-tetrahydrocannabinol on the dopamine system. https://app.cochat.ai/papers/10.1038/nature20153
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Bloomfield, M. A. P., Ashok, A. H., Volkow, N. D., & Howes, O. D. (2016). The effects of Δ9-tetrahydrocannabinol on the dopamine system. Nature. https://doi.org/10.1038/nature20153

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.