The DOI matches its Crossref record; 155 of the 155 references it cites were found in a registry or an index.
New medications for drug addiction hiding in glutamatergic neuroplasticity
Open accessAbstract
The repeated use of drugs that directly or indirectly stimulate dopamine transmission carry addiction liability and produce enduring pathological changes in the brain circuitry that normally regulates adaptive behavioral responding to a changing environment. This circuitry is rich in glutamatergic projections, and addiction-related behaviors in animal models have been linked to impairments in excitatory synaptic plasticity. Among the best-characterized glutamatergic projection in this circuit is the prefrontal efferent to the nucleus accumbens. A variety of molecular adaptations have been identified in the prefrontal glutamate synapses in the accumbens, many of which are induced by different classes of addictive drugs. Based largely on work with cocaine, we hypothesize that the drug-induced adaptations impair synaptic plasticity in the cortico-accumbens projection, and thereby dysregulate the ability of addicts to control their drug-taking habits. Accordingly, we go on to describe the literature implicating the drug-induced changes in protein content or function that impinge upon synaptic plasticity and have been targeted in preclinical models of relapse and, in some cases, in pilot clinical trials. Based upon modeling drug-induced impairments in neuroplasticity in the cortico-accumbens pathway, we argue for a concerted effort to clinically evaluate the hypothesis that targeting glial and neuronal proteins regulating excitatory synaptic plasticity may prove beneficial in treating addiction.
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Gray, K. M., Carpenter, M. J., Baker, N. L., DeSantis, S. M., Kryway, E., Hartwell, K. J., McRae-Clark, A. L., & Brady, K. T. (2012) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2012.12010055 · Cited by 306
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Metadata
- Authors
- Kalivas, P. W., & Volkow, N. D.
- Venue
- Molecular Psychiatry
- Published
- 2011-04-26
- Volume
- 16
- Issue
- 10
- Pages
- 974-986
- ISSN
- 1359-4184 (ISSN-L)
- 1476-5578
- OpenAlex
- W2019860362
- Cited by
- 349
- References
- 155
- FWCI
- 11.55
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.