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Obtaining the Optimal Dose in Alcohol Dependence Studies

Bibliographic Data

ID15525318
AuthorsNolan A Wages (0000-0002-2190-4864, University of Virginia, corresponding author), Lei Liu (0000-0002-4422-7325, Northwestern University), John O’Quigley (0000-0001-8038-5171, Sorbonne Université), Bankole A Johnson (0000-0002-8901-6177, University of Virginia)
Year2012
Volume3
Pages100-100
Publication date2012-01-01
Open AccessYes
TypeARTICLE
VenueFrontiers in Psychiatry (JOURNAL)
Journal identifiersISSN: 1664-0640 • E-ISSN: 1664-0640
PublisherFrontiers Media (PUBLISHER • CH)
DOI10.3389/fpsyt.2012.00100
PMID23189064
PMCIDPMC3504325
OpenAlexW2086970444
LanguageEN
References cited2

In alcohol dependence studies, the treatment effect at different dose levels remains to be ascertained. Establishing this effect would aid us in identifying the best dose that has satisfactory efficacy while minimizing the rate of adverse events. We advocate the use of dose-finding methodology that has been successfully implemented in the cancer and HIV settings to identify the optimal dose in a cost-effective way. Specifically, we describe the continual reassessment method (CRM), an adaptive design proposed for cancer trials to reconcile the needs of dose-finding experiments with the ethical demands of established medical practice. We are applying adaptive designs for identifying the optimal dose of medications for the first time in the context of pharmacotherapy research in alcoholism. We provide an example of a topiramate trial as an illustration of how adaptive designs can be used to locate the optimal dose in alcohol treatment trials. It is believed that the introduction of adaptive design methods will enable the development of medications for the treatment of alcohol dependence to be accelerated

Alcohol · Alcohol dependence · Psychiatry · Alcohol Consumption and Health Effects · Carcinogens and Genotoxicity Assessment · Chemistry · Medicine · Psychology · Substance Abuse Treatment and Outcomes

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Highly citedNo

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