Cognitive, Clinical, and Neural Aspects of Drug Addiction
- 1 Edición - 10 de enero de 2020
- Última edición
- Autor: Ahmed Moustafa
- Idioma: Inglés
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… Leer más
Descripción
Descripción
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.
Puntos claves
Puntos claves
- 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
De interès para
De interès para
Researchers and clinicians in psychiatry and psychology treating patients with addiction disorder
Índice
Índice
Reseñas
Reseñas
Detalles del producto
Detalles del producto
- Edición: 1
- Última edición
- Publicado: 10 de enero de 2020
- Idioma: Inglés
Sobre el autor
Sobre el autor
AM
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.