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Cited by 527

The DOI matches its Crossref record; 158 of the 158 references it cites were found in a registry or an index.

Cannabinoid and cannabinoid‐like receptors in microglia, astrocytes, and astrocytomas

Open access
Stella, Nephi·2010·Glia

Abstract

CB1 and CB2 receptors are activated by a plethora of cannabinoid compounds, be they endogenously‐produced, plant‐derived or synthetic. These receptors are expressed by microglia, astrocytes and astrocytomas, and their activation regulates these cells' differentiation, functions and viability. Recent studies show that glial cells also express cannabinoid‐like receptors, and that their activation regulates different cell functions, but also control cell viability. This review summarizes this evidence, and discusses how selective compounds targeting cannabinoid‐like receptors constitute promising therapeutics to manage neuroinflammation and eradicate malignant astrocytomas. Importantly, the selective targeting of cannabinoid‐like receptors should provide therapeutic relieve without inducing the typical psychotropic effects and possible addictive properties associated with the use of Δ9‐tetrahydrocannabinol, the main psychotropic ingredient produced by the plant Cannabis sativa© 2010 Wiley‐Liss, Inc.

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Metadata

Authors
Stella, N.
Venue
Glia
Publisher
Wiley
Published
2010-03-29
Volume
58
Issue
9
Pages
1017-1030
ISSN
  • 0894-1491 (ISSN-L)
  • 1098-1136
OpenAlex
W2092535327
Cited by
527
References
158
FWCI
18.86
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Cannabinoid and cannabinoid‐like receptors in microglia, astrocytes, and astrocytomas. https://app.cochat.ai/papers/10.1002/glia.20983
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Stella, N. (2010). Cannabinoid and cannabinoid‐like receptors in microglia, astrocytes, and astrocytomas. Glia. https://doi.org/10.1002/glia.20983

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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.