This work may not be copied, distributed, displayed, published, reproduced, transmitted, modified, posted, sold, licensed, or used for commercial purposes. By downloading this file, you are agreeing to the publisher’s Terms & Conditions.


Using Treatment Algorithms for the Effective Management of Treatment-Resistant Depression

Madhukar H. Trivedi, MD; and Beverly A. Kleiber, PhD

Published: January 4, 2001

Article Abstract

Increasingly, clinicians are looking to evidence-based medicine for information about treatment options. Treatment algorithms have been used with a variety of psychiatric disorders to assist physicians in making treatment decisions. The direct, prescriptive nature of algorithms also makes them suitable for use in treatment-resistant depression. Two major projects, the Texas Medication Algorithm Project and Sequenced Treatment Alternatives to Relieve Depression, have begun to address the questions of sequenced treatment options. Future directions for algorithm development and implementation are discussed.

Some JCP and PCC articles are available in PDF format only. Please click the PDF link at the top of this page to access the full text.

Related Articles

Volume: 62

Quick Links: Depression (MDD)

Sign-up to stay
up-to-date today!


Already registered? Sign In

Case Report

Safety and Tolerability of Concomitant Intranasal Esketamine Treatment With Irreversible, Nonselective MAOIs: A Case Series

Three cases suggest that concomitant use of intranasal esketamine with an irreversible, nonselective MAOI is safe in...