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Related papers: A probabilistic model of relapse in drug addiction

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Substances of abuse are known to activate and disrupt neuronal circuits in the brain reward system. We propose a simple and easily interpretable dynamical systems model to describe the neurobiology of drug addiction that incorporates the…

Neurons and Cognition · Quantitative Biology 2026-05-12 Tom Chou , Maria D'Orsogna

Relapse, the recurrence of a disorder following a symptomatic remission, is a frequent outcome in substance abuse disorders. Some of our prior results suggested that relapse, in the context of abusive drinking, is likely an "unbeatable"…

Populations and Evolution · Quantitative Biology 2020-04-16 Ariel Cintrón-Arias , Fabio Sánchez , Xiaohong Wang , Carlos Castillo-Chavez , Dennis M. Gorman , Paul J. Gruenewald

Substance abuse is the unrestrained and detrimental use of psychoactive chemical substances, unauthorized drugs, and alcohol. Continuous use of these substances can ultimately lead a human to disastrous consequences. As patients display a…

Machine Learning · Computer Science 2021-01-12 Uwaise Ibna Islam , Iqbal H. Sarker , Enamul Haque , Mohammed Moshiul Hoque

We introduce a statistical agent based model to describe the phenomenon of drug abuse and its dynamical evolution at the individual and global level. The agents are heterogeneous with respect to their intrinsic inclination to drugs, to…

Physics and Society · Physics 2012-08-03 Riccardo Di Clemente , Luciano Pietronero

Opioid addiction is a severe public health threat in the U.S, causing massive deaths and many social problems. Accurate relapse prediction is of practical importance for recovering patients since relapse prediction promotes timely relapse…

Social and Information Networks · Computer Science 2018-11-30 Zhou Yang , Long Nguyen , Fang Jin

Many drugs used therapeutically or recreationally induce tolerance: the effect of the substance decreases with repeated use. This phenomenon may reduce the efficacy of the substance unless dosage is increased beyond what is healthy for the…

Dynamical Systems · Mathematics 2024-03-19 Golrokh Nouri , Paul Tupper

With the advancement of information technology, more people, especially young adults, are getting addicted to the use of different social media platforms. Despite immense useful applications in communication and interactions, the habit of…

Physics and Society · Physics 2023-07-20 Dibyajyoti Mallick , Priya Chakraborty , Sayantari Ghosh

The United States is currently experiencing an unprecedented opioid crisis, and opioid overdose has become a leading cause of injury and death. Effective opioid addiction recovery calls for not only medical treatments, but also behavioral…

Social and Information Networks · Computer Science 2019-12-04 Zhou Yang , Spencer Bradshaw , Rattikorn Hewett , Fang Jin

Mental health disorders are particularly prevalent among those in the criminal justice system and may be a contributing factor in recidivism. Using North Carolina court cases from 1994 to 2009, this paper evaluates how mandated mental…

General Economics · Economics 2023-11-15 Rachel Nesbit

Opioid addiction has become a global epidemic and a national health crisis in recent years, with the number of opioid overdose fatalities steadily increasing since the 1990s. In contrast to the dynamics of a typical illicit drug or disease…

Populations and Evolution · Quantitative Biology 2019-05-03 Nicholas A. Battista , Leigh B. Pearcy , W. Christopher Strickland

Addictive behavior spreads through social networks via feedback among choice, peer pressure, and shifting ties, a process that eludes standard epidemic models. We present a comprehensive multi-state network model that integrates…

Physics and Society · Physics 2025-06-30 Hsuan-Wei Lee , Yi-Hsuan Huang , Nishant Malik

It is widely acknowledged that addiction relapse is highly associated with spatial-temporal factors such as some specific places or time periods. Current studies suggest that those factors can be utilized for better relapse interventions,…

Human-Computer Interaction · Computer Science 2019-12-04 Zhou Yang , Vinay Jayachandra Reddy , Rashmi Kesidi , Fang Jin

Motivation: Opioid use disorder (OUD) often arises after prescription opioid exposure and follows transitions among onset, remission, and relapse. Linked EHR-survey resources such as the All of Us Research Program enable stage-specific risk…

Quantitative Methods · Quantitative Biology 2026-01-23 Mengman Wei , Stanislav Listopad , Qian Peng

Emotional disorders and psychological flourishing are the result of complex interactions between positive and negative affects that depend on external events and the subject's internal representations. Based on psychological data, we…

Applications · Statistics 2015-05-19 Jonathan Touboul , Alberto Romagnoni , Robert Schwartz

Almost 50% depression patients face the risk of going into relapse. The risk increases to 80% after the second episode of depression. Although, depression detection from social media has attained considerable attention, depression relapse…

An important endpoint variable in a cocaine rehabilitation study is the time to first relapse of a patient after the treatment. We propose a joint modeling approach based on functional data analysis to study the relationship between the…

Applications · Statistics 2015-11-18 Jun Ye , Yehua Li , Yongtao Guan

Multiple Sclerosis (MS) is a chronic autoimmune and inflammatory neurological disorder characterised by episodes of symptom exacerbation, known as relapses. In this study, we investigate the role of environmental factors in relapse…

Addiction, as a nervous disease, can be analysed using mathematical modelling and computer simulations. In this paper, we use an existing mathematical model to predict and simulate human brain response to the consumption of a single dose of…

Neural and Evolutionary Computing · Computer Science 2015-08-17 Maryam Keyvanara , Seyed Amirhassan Monadjemi

Early substance use during adolescence increases the risk of later substance use disorders and mental health problems, yet the emotional and contextual factors driving these behaviors remain poorly understood. This study analyzed 23000…

Computation and Language · Computer Science 2025-11-17 Jianfeng Zhu , Hailong Jiang , Yulan Wang , Karin G. Coifman , Ruoming Jin , Deric R. Kenne

Early initiation of alcohol, nicotine, cannabis, and other substances predicts later substance use disorders and related psychopathology. We integrate time-varying environmental factors with polygenic risk scores (PRS) in a longitudinal…

Quantitative Methods · Quantitative Biology 2026-04-10 Mengman Wei , Qian Peng
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