The present system of conducting studies of promising antidepressant therap
ies has evolved through the collaborative efforts of government, industry,
and academicians and is costly and inefficient. At least one third of the p
ublished clinical trials of approved antidepressants are negative for effic
acy, which can be partly explained by the clinical and neurobiological hete
rogeneity of the depressive disorder and partly because of methodological i
nadequacies. Unfortunately, too little attention is given to ensuring the r
eliability of diagnoses and dependent measures, sample sizes are seldom lar
ge enough to detect modest yet honestly significant differences, and too ma
ny trials are pursued before dose-response characteristics are fully unders
tood. At present, the only data beyond 1 year of treatment-and the only evi
dence about protection against recurrent depression-come during postmarketi
ng or phase 4 of the drug development process. Moreover, efficacy data for
depressed children and adolescents, bipolar depression, psychotic depressio
n, dysthymia, and frail or medically ill elderly patients are rarely availa
ble at the time a drug is introduced. Thus, it is remarkable how little cli
nicians know about a new antidepressant at the time it is first approved fo
r general use. Within a research strategy, tactics that ensure reliability,
encourage attention to adherence, and lessen attrition at the outset of a
study will increase the power and design sensitivity of a particular trial.
Additionally, the issues of research funding-including division of the res
earch pie-and the relationship of the Food and Drug Administration and inve
stigators to the pharmaceutical industry and the National Institute of Ment
al Health need to be revisited. Finally, extension of a compound's patent l
ife might be considered to expand the necessary postmarketing research. Thi
s article describes the process of conducting the clinical trials that supp
ort a New Drug Application, discusses issues in evaluating efficacy, and of
fers suggestions for modifying and improving the drug development process s
o that clinicians can better judge new drugs.