Press Release (ePRNews.com) - TORONTO - Nov 02, 2018 - If a drug compound (or its metabolites) crosses the blood-brain barrier, then the FDA requires an Abuse Potential Assessment, which includes GLP self-administration, drug discrimination and physical dependency studies. For some drug classes like stimulants (i.e., amphetamine and cocaine), self-administration studies have been widely characterized in several species with the corresponding data analysis being fairly straightforward.
For other drug classes, however, such as sedatives (i.e., phenobarbital, pentobarbital, midazolam), a greater degree of variability between animals and test sessions exists, along with a relatively low self-administration response. As a result, standard statistical analysis typically used to analyze self-administration studies is either too sensitive or not sensitive enough to support characterization of the biological response for this class of drugs.
This live webinar upcoming on Tuesday, Nov. 20, 2018, at 11 a.m. EST (4 p.m. GMT/UK) will present a holistic data analysis strategy for nonclinical self-administration studies, taking into account patterns of response to provide a greater degree of characterization of the reinforcement properties of a drug. Throughout the webinar, featured speakers will provide sample data of this approach from known drugs of abuse including amphetamine, midazolam, ketamine and diamorphine.
Join featured speakers from Covance Sharon Rowton, Ph.D., Scientific Specialist, and Kelly Ashcroft-Hawley, MMath, Principal Statistician, for an insightful and interactive presentation.
For more information or to register for this event, visit Drug Abuse Potential: A Data Analysis Strategy for Nonclinical Self-Administration Studies.
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Nima Rajan Source :
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