Addiction Medicine at IgMin Research | Medicine Group
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About
Addiction Medicine is a multidisciplinary field that addresses the complex nature of addiction, integrating approaches from psychiatry, neuroscience, and pharmacology. This dynamic discipline explores the mechanisms underlying substance use disorders and behavioral addictions, with a focus on prevention, diagnosis, treatment, and recovery. Researchers in Addiction Medicine aim to understand the biological, psychological, and social factors that contribute to addictive behaviors, developing innovative strategies to support individuals in overcoming addiction.
By leveraging insights from genetics, neurobiology, and behavioral sciences, the study of Addiction Medicine is pivotal in advancing therapies for substance dependence and addictive behaviors. The field also encompasses research on comorbid mental health conditions, harm reduction, and evidence-based interventions that enhance patient outcomes. As addiction continues to pose significant public health challenges worldwide, the advancements in this field are crucial for improving treatment options and promoting long-term recovery.
Why Publish with us?
Global Visibility – Indexed in major databases
Fast Peer Review – Decision within 14–21 days
Open Access – Maximize readership and citation
Multidisciplinary Scope – Biology, Medicine and Engineering
Editorial Board Excellence – Global experts involved
University Library Indexing – Via OCLC
Permanent Archiving – CrossRef DOI
APC – Affordable APCs with discounts
Citation – High Citation Potential
Which articles are now trending?
Research Articles
- Use of Augmented Reality as a Radiation-free Alternative in Pain Management Spinal Surgeries
- On how Doping with Atoms of Gadolinium and Scandium affects the Surface Structure of Silicon
- Biomimetic Synthesis of Calcium Carbonate in Bile in the presence of Amino Acids
- Contribution to the Knowledge of Ground Beetles (Coleoptera: Carabidae) from Pakistan
- Exploring Upper Limb Kinematics in Limited Vision Conditions: Preliminary Insights from 3D Motion Analysis and IMU Data
- Correlation between Different Factors of Non-point Source Pollution in Yangtze River Basin
