Work

The quantitative economon model as a novel computational tool for addiction research.

Year: 2026

Type: article

Abstract: exchanged, and demand increases on the subsequent encounter due to deprivation. Using a computational implementation of the quantitative economon model, we simulated transaction patterns maintained by four hypothetical situations with high or low levels of deprivation crossed with high or low levels of satiation (i.e., a 2 × 2 matrix of conditions). Simulations revealed distinct patterns of transactional behavior depending on the specific levels of satiation and deprivation. When deprivation levels were high and satiation levels were low, simulated transaction rates were characteristic of the high consumption rates observed with addictive commodities such as drugs. In sum, the quantitative economon model provides a framework for modeling, investigating, and predicting patterns of human transactional behavior, applicable to the trajectory of substance use disorders at an individual and group level in the context of real-world markets. (PsycInfo Database Record (c) 2026 APA, all rights reserved).

Source: Experimental and Clinical Psychopharmacology

DOI: 10.1037/pha0000835

Authors: Jeremy M. Haynes, Joel Correa da Rosa, Eduardo R. Butelman, Steven R. Hursh, S. Stevens Negus

Institutions: Georgia Southern University, Icahn School of Medicine at Mount Sinai, Institutes for Behavior Resources, Virginia Commonwealth University

Language: English

Topic: Substance Abuse Treatment and Outcomes

Subfield: Epidemiology

Field: Medicine

Domain: Health Sciences

Open Access status: hybrid

Funders: National Institutes of Health, National Institute on Drug Abuse

Awards: G9000036716, Integrative Single Cell isoform and chromatin accessibility Mapping of Chronic Opioid Exposure in Cognitive Brain Areas in HIV