Prevention and Personalized Treatment of Substance Use Disorders

A special issue of Journal of Personalized Medicine (ISSN 2075-4426). This special issue belongs to the section "Methodology, Drug and Device Discovery".

Deadline for manuscript submissions: 22 August 2025 | Viewed by 14

Special Issue Editors


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Guest Editor
Independent Laboratory of Behavioural Genetics and Epigenetics, Pomeranian Medical University in Szczecin, Powstańców Wielkopolskich 72 St., 70-111 Szczecin, Poland
Interests: substance use disorder; genetics; neuroscience; biostatistics
Special Issues, Collections and Topics in MDPI journals

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Guest Editor

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Guest Editor
Department of Hygiene and Epidemiology, Collegium Medicum, University of Zielona Góra, 28 Zyty St., 65-046 Zielona Góra, Poland
Interests: genetics; dopamine; personality traits; epidemiology; statistics; D2 receptor
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Substance use disorders (SUDs) have posed significant public health challenges for many years. Over time, approaches to addressing these disorders have evolved from punitive measures to more compassionate, evidence-based treatments. Recognizing SUDs as chronic, treatable conditions has led to the development of more effective prevention and personalized treatment strategies.

This Special Issue seeks to explore innovative methods for preventing SUDs and tailoring treatments to individual needs. This includes evaluating the effectiveness of various prevention programs, early intervention techniques, and personalized treatment plans that consider unique circumstances and history.

Current research in this field focuses on combining behavioral therapies with pharmacological treatments, leveraging technology for remote monitoring and support, and creating personalized care plans based on genetic, psychological, and social factors, in addition to neuro-modulation techniques and the impact of community-based interventions.

In this Special Issue of the Journal of Personalized Medicine, we invite you to contribute original research articles and reviews on all aspects related to the topic at hand. Research areas of interest include (but are not limited to) the following: the use of artificial intelligence to predict relapse, the effectiveness of telehealth in delivering personalized care, and the development of new medications to manage withdrawal symptoms and cravings.

Dr. Aleksandra Suchanecka
Dr. Jolanta Chmielowiec
Dr. Kszysztof Chmielowiec
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Personalized Medicine is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • substance use disorder
  • substance dependency
  • biomarkers
  • artificial intelligence
  • machine learning
  • precision phenotyping
  • genomics
  • clinical trial

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Published Papers

This special issue is now open for submission.
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