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Long-Term Antidepressant Treatment Decreases Spiroperidol-Labeled Serotonin Receptor Binding
Abstract
Antidepressants compete at several neurotransmitter receptor binding sites, but drug affinities do not correlate with clinical efficacy. Long-term, but not short-term, antidepressant treatment decreases the numbers of both serotonin and β-adrenergic receptors. The decrease in the number of receptor sites is most marked for [ 3 H]spiroperidol-labeled serotonin receptors and is characteristic for antidepressants of several classes.
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Citations
Cited by
A molecular and cellular theory of depression
Duman, R. S. (1997) · Archives of General Psychiatry · doi:10.1001/archpsyc.1997.01830190015002 · Cited by 2,129
The Effects of Clozapine, Risperidone, and Olanzapine on Cognitive Function in Schizophrenia
Meltzer, H. Y., & McGurk, S. R. (1999) · Schizophrenia Bulletin · doi:10.1093/oxfordjournals.schbul.a033376 · Cited by 1,020
Neurobiological similarities in depression and drug dependence: a self-medication hypothesis
Markou, A. (1998) · Neuropsychopharmacology · doi:10.1016/s0893-133x(97)00113-9 · Cited by 767
Charney, D. S. (1981) · Archives of General Psychiatry · doi:10.1001/archpsyc.1981.01780350094011 · Cited by 649
Mechanism of action of serotonin selective reuptake inhibitors
Stahl, S. M. (1998) · Journal of Affective Disorders · doi:10.1016/s0165-0327(98)00221-3 · Cited by 540
Metadata
- Authors
- Peroutka, S. J., & Snyder, S. H.
- Venue
- Science
- Published
- 1980-10-03
- Volume
- 210
- Issue
- 4465
- Pages
- 88-90
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2002224654
- Cited by
- 832
- References
- 0
- FWCI
- 49.85
- Type
- journal article
- Language
- en
- Open access
- closed
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- Peroutka, S. J., & Snyder, S. H. (1980). Long-Term Antidepressant Treatment Decreases Spiroperidol-Labeled Serotonin Receptor Binding. Science. https://doi.org/10.1126/science.6251550
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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.
