Cognitive, Clinical, and Neural Aspects of Drug Addiction
- 1st Edition - January 10, 2020
- Latest edition
- Author: Ahmed Moustafa
- Language: English
Drug addictions are often difficult to treat. The most successful treatments begin with studying why individuals become addicted to drugs and how to change their thinking and be… Read more
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Description
Description
Drug addictions are often difficult to treat. The most successful treatments begin with studying why individuals become addicted to drugs and how to change their thinking and behaviour. Cognitive, Clinical, and Neural Aspects of Drug Addiction focuses on the theories that cause drug addiction, including avoidance behavior, self-medication, reward sensitization, behavioral inhibition and impulsivity. Dr. Moustafa takes this book one step further by reviewing the psychological and neural causes of relapse including the role of stress, anxiety and depression. By examining both the causes of drug addiction and relapse, this book will help clinicians create individualized treatment options for patients suffering from drug addiction.
Key features
Key features
- Identifies key factors contributing to addiction, including stress, anxiety and depression
- Reviews inhibition and impulsivity in drug use
- Assesses the cognitive underpinnings of behavioral choices in addiction
- Discusses the argument of self-medication vs. reward sensitization
- Examines the psychological causes of why patients relapse
Readership
Readership
Researchers and clinicians in psychiatry and psychology treating patients with addiction disorder
Table of contents
Table of contents
Review quotes
Review quotes
Product details
Product details
- Edition: 1
- Latest edition
- Published: January 10, 2020
- Language: English
About the author
About the author
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Ahmed Moustafa
Ahmed Moustafa, PhD, is a Professor of Psychology and Computational Modeling at Bond University, Australia. Dr. Moustafa specializes in computational and neuropsychological studies of addiction, schizophrenia, Parkinson’s disease, PTSD, depression, and Alzheimer’s disease. He also conducts research on data analytics and machine learning.