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Treating Narcissistic Disorders in General Psychiatry: Practical Application of Transference-Focused Psychotherapy Principles.

  • Published In: Psychodynamic Psychiatry, 2024, v. 52, n. 2. P. 150 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Hersh, Richard G. 3 of 3

Abstract

Patients with primary or co-occurring narcissistic disorders are seen routinely in general psychiatry settings. Contemporary trends in training and practice have impacted psychiatrists' skills and confidence in identifying and treating these disorders, which can range from relatively benign to high-acuity presentations. The goal of this article is to introduce key principles derived from transference-focused psychotherapy (TFP) for use by clinicians in general practice in their work with patients with narcissistic disorders, even when those clinicians do not routinely provide individual psychotherapy. Practical application of TFP principles in work with patients with narcissistic disorders in general psychiatry are proposed, including in diagnostic evaluation, family engagement, prescribing, and safety assessment and risk management calculus. Many psychiatrists whose practices are focused primarily on psychopharmacology, or a "medical model," may not appreciate fully the impact of pathological narcissism in their work. Clinicians who may benefit from familiarity with TFP principles in work with patients with narcissistic disorders include the approximately one-half of U.S. psychiatrists who do not offer psychotherapy in their practice. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Psychodynamic Psychiatry. 2024/06, Vol. 52, Issue 2, p150
  • Document Type:Article
  • Subject Area:Social Sciences and Humanities
  • Publication Date:2024
  • ISSN:2162-2590
  • DOI:10.1521/pdps.2024.52.2.150
  • Accession Number:177635722
  • Copyright Statement:Copyright of Psychodynamic Psychiatry is the property of Guilford Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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