140
Views
17
CrossRef citations to date
0
Altmetric
Reviews

Could the underestimation of bipolarity obstruct the search for novel antidepressant drugs?

, MD, , MD, , MD & , MD
Pages 2817-2831 | Published online: 18 Nov 2011
 

Abstract

Introduction: Despite the clinical and social relevance of depression, and the availability of numerous antidepressants and non-pharmacological interventions, response rates remain unsatisfactory and novel therapeutic targets are being explored.

Areas covered: This review starts with a brief overview of the evolution of the current antidepressant drug scenario and ends with a focus on the potential influence of the underestimation of bipolarity on the exploration of novel antidepressant drugs.

Expert opinion: The field of antidepressant drug development has suffered from a relative decline recently and, with the exception of agomelatine, innovative non-monoaminergic antidepressants have yet to be developed. The need for more effective compounds is evident. Clinicians and researchers should pay greater attention to the impact of bipolarity in depression. The ultimate goal of this review is not to discourage the use of antidepressants but rather to encourage judicious prescriptions, and also to solicit a better collaboration between clinicians and preclinical researchers so that more reliable diagnostic criteria can be adopted.

Notes

This box summarizes key points contained in the article.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 99.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 884.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.