Hostname: page-component-848d4c4894-hfldf Total loading time: 0 Render date: 2024-05-08T20:48:04.644Z Has data issue: false hasContentIssue false

Introduction—Treatment Resistance: Concepts and Management in Mood and Anxiety Disorders

Published online by Cambridge University Press:  07 November 2014

Extract

This supplement to CNS Spectrums focuses on exciting emerging data on therapeutic approaches that can help the clinician with difficult-to-treat patients. Over the last decade, there have been tremendous advances in our conceptualization of difficult-to-treat patients, including diagnostic, psychotherapeutic, pharmacotherapeutic, and somatic approaches. A series of articles addressing these advances in the field are presented in this supplement.

Edna B. Foa, PhD, has been a leading expert in cognitive-behavioral therapy (CBT) for anxiety disorders for many years. Foa and colleagues provide a thoughtful analysis of the particular components of CBT that may be responsible for its efficacy in anxiety disorders. This article goes beyond simple trials looking at the efficacy of CBT or combined treatment with pharmacotherapy and CBT. Foa and colleagues identify individual treatment and patient factors as well as the interaction between the two, that may influence treatment response. Treatment of posttraumatic stress disorder is used as a model for helping us understand this exciting work.

Next, Waguih William IsHak, MD, presents important data about the use of practical and pragmatic treatment paradigms in patients with mood and anxiety disorders. Dr. IsHak emphasizes the importance of standardized structured approaches to facilitate understanding of the breadth of psychopathology present in the patient. The model Dr. IsHak proposes for the evaluation and conceptualization of the patient facilitates the integration of biological factors, psychological factors, and psychosocial variables. His algorithms go beyond merely a technique for assessment and present a rational approach to therapy for patients. These algorithms are limited by existing data, but the steps elaborated within the algorithm are powerful and useful for the clinician. This article serves as a useful guide for both trainees and clinicians with many years in practice.

Type
Introduction
Copyright
Copyright © Cambridge University Press 2002

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)