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The Myth of Mental Illness
Abstract
At the core of virtually all contemporary psychiatric theories and practices lies the concept of mental illness. A critical examination of this concept is therefore indispensable for understanding the ideas, institutions, and interventions of psychiatrists. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Citations
Cited by
The Need for a New Medical Model: A Challenge for Biomedicine
Engel, G. L. (1977) · Science · doi:10.1126/science.847460 · Cited by 12,887
Disease and illness Distinctions between professional and popular ideas of sickness
Eisenberg, L. (1977) · Culture, Medicine and Psychiatry · doi:10.1007/bf00114808 · Cited by 800
Gilburt, H., Rose, D., & Slade, M. (2008) · BMC Health Services Research · doi:10.1186/1472-6963-8-92 · Cited by 396
Psychiatric diagnosis: Lessons from the DSM-IV past and cautions for the DSM-5 future
Frances, A. J., & Widiger, T. (2012) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-032511-143102 · Cited by 271
Psychiatric disorders: a conceptual taxonomy
Zachar, P., & Kendler, K. S. (2007) · American Journal of Psychiatry · doi:10.1176/ajp.2007.164.4.557 · Cited by 236
Metadata
- Authors
- Szasz, T.
- Venue
- Biomedical Ethics and the Law
- Publisher
- Springer US
- Published
- 1979
- Volume
- 15
- Issue
- 2
- Pages
- 121-130
- OpenAlex
- W2102945862
- Cited by
- 2,645
- References
- 0
- FWCI
- 441.56
- Type
- book chapter
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: The Myth of Mental Illness. https://app.cochat.ai/papers/10.1007/978-1-4615-6561-1_9
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- Szasz, T. (1979). The Myth of Mental Illness. Biomedical Ethics and the Law. https://doi.org/10.1007/978-1-4615-6561-1_9
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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.