More Like this

1. Analysis of associations between emotions and activities of drug users and their addiction recovery tendencies from social media posts using structural equation modeling

   https://doi.org/0.1186/s12859-020-03893-9  

   Jha, Deeptanshu; Singh, Rahul (January 2021, BMC bioinformatics)

   null (Ed.)

   Background: Addiction to drugs and alcohol constitutes one of the significant factors underlying the decline in life expectancy in the US. Several context-specific reasons influence drug use and recovery. In particular emotional distress, physical pain, relationships, and self-development efforts are known to be some of the factors associated with addiction recovery. Unfortunately, many of these factors are not directly observable and quantifying, and assessing their impact can be difficult. Based on social media posts of users engaged in substance use and recovery on the forum Reddit, we employed two psycholinguistic tools, Linguistic Inquiry and Word Count and Empath and activities of substance users on various Reddit sub-forums to analyze behavior underlining addiction recovery and relapse. We then employed a statistical analysis technique called structural equation modeling to assess the effects of these latent factors on recovery and relapse. Results: We found that both emotional distress and physical pain significantly influence addiction recovery behavior. Self-development activities and social relationships of the substance users were also found to enable recovery. Furthermore, within the context of self-development activities, those that were related to influencing the mental and physical well-being of substance users were found to be positively associated with addiction recovery. We also determined that lack of social activities and physical exercise can enable a relapse. Moreover, geography, especially life in rural areas, appears to have a greater correlation with addiction relapse. Conclusions: The paper describes how observable variables can be extracted from social media and then be used to model important latent constructs that impact addiction recovery and relapse. We also report factors that impact self-induced addiction recovery and relapse. To the best of our knowledge, this paper represents the first use of structural equation modeling of social media data with the goal of analyzing factors influencing addiction recovery. 

   more » « less
2. DUI: the drug use insights web server

   https://doi.org/10.1093/bioinformatics/btab461  

   Prince, Zachary; Jha, Deeptanshu; Singh, Rahul (June 2021, Bioinformatics)

   Wren, Jonathan (Ed.)

   Abstract Motivation Substance abuse constitutes one of the major contemporary health epidemics. Recently, the use of social media platforms has garnered interest as a novel source of data for drug addiction epidemiology. Often however, the language used in such forums comprises slang and jargon. Currently, there are no publicly available resources to automatically analyse the esoteric language-use in the social media drug-use sub-culture. This lacunae introduces critical challenges for interpreting, sensemaking and modeling of addiction epidemiology using social media. Results Drug-Use Insights (DUI) is a public and open-source web application to address the aforementioned deficiency. DUI is underlined by a hierarchical taxonomy encompassing 108 different addiction related categories consisting of over 9,000 terms, where each category encompasses a set of semantically related terms. These categories and terms were established by utilizing thematic analysis in conjunction with term embeddings generated from 7,472,545 Reddit posts made by 1,402,017 redditors. Given post(s) from social media forums such as Reddit and Twitter, DUI can be used foremost to identify constituent terms related to drug use. Furthermore, the DUI categories and integrated visualization tools can be leveraged for semantic- and exploratory analysis. To the best of our knowledge, DUI utilizes the largest number of substance use and recovery social media posts used in a study and represents the first significant online taxonomy of drug abuse terminology. Availability The DUI web server and source code are available at: http://haddock9.sfsu.edu/insight/ Supplementary information Supplementary data are available at Bioinformatics online. 

   more » « less
3. Identifying and Characterizing Opioid Addiction States Using Social Media Posts

   https://doi.org/10.1109/BIBM52615.2021.9669628  

   Jha, D; La Marca, S; Singh R (December 2021, Proceedings IEEE International Conference on Bioinformatics and Biomedicine Workshops)

   Opioid addiction constitutes a significant contemporary health crisis that is multifarious in its complexity. Modeling the epidemiology of any addiction is challenging in its own right. For opioid addiction, the challenge is exacerbated due to the difficulties in collecting real-time data and the circumscribed nature of information opioid users may disclose owing to stigma associated with prescription misuse. Given this context, identifying the progression of individuals through the stages of (opioid) addiction is one of the more acute problems in epidemiological modeling whose solution is crucial for designing specific interventions at both personal and population levels. We describe a computational approach for determining and characterizing addiction stages of opioid users from their social media posts. The proposed approach combines recurrent neural network learning with information-theoretic analysis of word-associations and context-based word embedding to determine addiction stage-specific language usage. Users who have a high likelihood for relapsing back to drug-use are identified and characterized using propensity score matching and logistic regression. Experimental evaluations indicate that the proposed approach can distinguish between various addiction stages and identify users prone to relapse with high accuracy as evidenced by F1 scores of 0.88 and 0.79 respectively 

   more » « less
4. Hedonic eating, obesity, and addiction result from increased neuropeptide Y in the nucleus accumbens during human brain evolution

   https://doi.org/10.1073/pnas.2311118120  

   Raghanti, Mary Ann; Miller, Elaine N.; Jones, Danielle N.; Smith, Heather N.; Munger, Emily L.; Edler, Melissa K.; Phillips, Kimberley A.; Hopkins, William D.; Hof, Patrick R.; Sherwood, Chet C.; et al (September 2023, Proceedings of the National Academy of Sciences)

   The nucleus accumbens (NAc) is central to motivation and action, exhibiting one of the highest densities of neuropeptide Y (NPY) in the brain. Within the NAc, NPY plays a role in reward and is involved in emotional behavior and in increasing alcohol and drug addiction and fat intake. Here, we examined NPY innervation and neurons of the NAc in humans and other anthropoid primates in order to determine whether there are differences among these various species that would correspond to behavioral or life history variables. We quantified NPY-immunoreactive axons and neurons in the NAc of 13 primate species, including humans, great apes, and monkeys. Our data show that the human brain is unique among primates in having denser NPY innervation within the NAc, as measured by axon length density to neuron density, even after accounting for brain size. Combined with our previous finding of increased dopaminergic innervation in the same region, our results suggest that the neurochemical profile of the human NAc appears to have rendered our species uniquely susceptible to neurophysiological conditions such as addiction. The increase in NPY specific to the NAc may represent an adaptation that favors fat intake and contributes to an increased vulnerability to eating disorders, obesity, as well as alcohol and drug dependence. Along with our findings for dopamine, these deeply rooted structural attributes of the human brain are likely to have emerged early in the human clade, laying the groundwork for later brain expansion and the development of cognitive and behavioral specializations. 

   more » « less
5. Not You: Addiction, Relapse, and Release in Uganda

   https://doi.org/10.1007/s11013-021-09722-9  

   Scherz, China; Mpanga, George; Namirembe, Sarah (January 2021, Culture, Medicine, and Psychiatry)

   null (Ed.)

   In recent years alcohol abuse and dependence have become topics of increasing concern in Uganda, but the chronic relapsing brain disease model of addiction remains only one of many ways of understanding and addressing alcohol related problems there. For many Ugandan Pentecostals and spirit mediums to be addicted is to be under the control of a being that comes from outside the self. Where these two groups differ, and here they differ strongly, is in regard to the moral valence of these external spirits and what ought to be done about them. This article draws on four years of collaborative ethnographic fieldwork to explore the affordances of these ways of viewing and experiencing addiction and recovery for Ugandans attempting to leave alcohol behind. While the idioms of bondage, dedication, and possession are at times severe, this article argues that they contain within them concepts and practices that point away from models of addiction as a chronic relapsing brain disease and towards the possibility of release. 

   more » « less