Addiction Medicine at IgMin Research | Medicine Group
Our purpose is to support shared research goals that lead to quicker innovation.
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
- Efficacy of Alternative Insecticides against Dusky Cotton Bug (Oxycarenus laetus) to Improve Yield Losses in Cotton Crops through Residue-based Bioassay
- Computational Porous Media Techniques for High-Fidelity Simulation of Headphone-Ear Coupling from 20 Hz to 20 kHz
- Challenge and Readiness to Implemented Geothermal Energy in Indonesia
- A Machine Learning-based Method for COVID-19 and Pneumonia Detection
- A Model of the Enforcement of Laws in Tramadol Drug Abusers
- Endoscopic Aspects of Lesions Secondary to Helicobacter pylori Infection in two Hospitals in Douala: A Cross-Sectional Study over a Three-year Period
