Clinical Textbook of Addictive Disorders

This extensively updated and revised second edition brings together leading clinicians and researchers to present the latest approaches to diagnosing and treating a wide range of substance-related problems. Practical and comprehensive, the volume incorporates major developments in our understanding of the biological mechanisms of addiction. It also describes important refinements to treatment methodologies, including new treatments for dual diagnosis. References have been updated throughout, and five completely new chapters address substance abuse among women and minority populations, forensic issues, management in primary care settings, and pharmacological treatment approaches.

Richard J. Frances, MD, is Clinical Professor of Psychiatry, New York University School of Medicine, and Director of Public and Professional Education, Silver Hill Hospital, New Canaan, Connecticut. He is also in private practice in New York City. Dr. Frances was former President and Medical Director at Silver Hill Hospital; was founding president of the American Academy of Addiction Psychiatry; and helped found and chaired the Council of Addiction Psychiatry for the American Psychiatric Association. The author of several hundred articles and several books, he is on many editorial boards. He is a frequent lecturer on addiction psychiatry and has appeared numerous times on <I>Court TV<I*>.

Sheldon I. Miller, MD, is Lizzie Gilman Professor of Psychiatry and former Chairman of the Department of Psychiatry and Behavioral Sciences, Northwestern University. The author or coauthor of over 60 scientific articles, chapters, and books, he is Editor-in-Chief of the <I>American Journal on Addictions <I*> and was a founder of the American Academy of Addiction Psychiatry. He serves on the Board of Directors of the Accreditation Council for Graduate Medical Education and the American Board of Emergency Medicine, and is Vice Chair of the American Psychiatric Association's Council on Medical Education and Lifelong Learning.