基于网络理论的物质成瘾新视角

Substance addiction involves multiple factors, ranging from biological, social, to cultural factors. But the dominant biological reductionism based explanations mainly focused on the brain, possibly hindering a more comprehensive and inclusive research of substance addiction and its recovery. We propose that network theory, focusing on feedback loops formed by interactions between variables of psychological disorders, will provide a better framework to understand the complexity of substance addiction from a holistic perspective. Applying network theory to substance addiction may provide new insights in (1) understanding the interrelationships and interactions between symptoms, (2) understanding the systematic integrity and dynamic changes in symptom networks, and (3) integrating multiple levels of factors into a unified theoretical framework. Also, network theory may generate new approaches for future interventions and treatments. In sum, network analysis models, as a theoretical model, provides a new perspective for understanding substance addiction and its intervention, we envision that it will brings more empirical research to test more specific hypotheses in this framework, thus, promote the treatment and recovery of substance addiction.