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Cited by 214

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Invertebrate models of drug abuse

Open access
Wolf, Fred W., Heberlein, Ulrike·2003·Journal of Neurobiology

Abstract

Susceptibility to drug addiction depends on genetic and environmental factors and their complex interactions. Studies with mammalian models have identified molecular targets, neurochemical systems, and brain regions that mediate some of the addictive properties of abused drugs. Yet, our understanding of how the primary effects of drugs lead to addiction remains incomplete. Recently, researchers have turned to the invertebrate model systems Drosophila melanogaster and Caenorhabditis elegans to dissect the mechanisms by which abused drugs modulate behavior. Due to their sophisticated genetics, relatively simple anatomy, and their remarkable molecular similarity to mammals, these invertebrate models should provide useful insights into the mechanisms of drug action. Here we review recent behavioral and genetic studies in flies and worms on the effects of ethanol, cocaine, and nicotine, three of the most widely abused drugs in the world. © 2003 Wiley Periodicals, Inc. J Neurobiol 54: 161–178, 2003

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Crossref · 10.1002/neu.10166

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Metadata

Authors
Wolf, F. W., & Heberlein, U.
Venue
Journal of Neurobiology
Publisher
Wiley
Published
2002-12-16
Volume
54
Issue
1
Pages
161-178
ISSN
  • 0022-3034 (ISSN-L)
  • 1097-4695
OpenAlex
W1980993643
Cited by
214
References
9
FWCI
3.53
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Invertebrate models of drug abuse. https://app.cochat.ai/papers/10.1002/neu.10166
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Wolf, F. W., & Heberlein, U. (2003). Invertebrate models of drug abuse. Journal of Neurobiology. https://doi.org/10.1002/neu.10166

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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.