Evidence map›Paper›PMID 40672322›Full record

ArticlebioRxiv : the preprint server for biology2025

Quantitative Economon Model of Transactions for Drugs and Other Commodities.

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

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Jeremy M HaynesDepartment of Psychology, Temple University 1701 N 13th St, Philadelphia, PA 19122 USA.ORCID 0000-0002-0811-3849
Joel Correa da RosaDepartment of Dermatology, Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA.ORCID 0000-0003-4221-1976
Eduardo R ButelmanNeuropsychoimaging of Addictions and Related Conditions; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA.
Steven R HurshInstitutes for Behavior Resources, Inc, Baltimore, MD, 21218.
S Stevens NegusDepartment of Pharmacology and Toxicology, Virginia Commonwealth University, 410 N. 12th St, Richmond, VA 23298 USA.

Funding

VCU Center for Drug Addiction ResearchP30DA033934 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI JOLENE J WINDLE · 2014 to 2026
$13.8M
Integrative Single Cell isoform and chromatin accessibility Mapping of Chronic Opioid Exposure in Cognitive Brain Areas in HIVU01DA053625 · NIDA · WEILL MEDICAL COLL OF CORNELL UNIV · PI MILNER, TERESA A, NDHLOVU, LISHOMWA C · 2021 to 2025
$4.0M
NIDA NIH HHS P30 DA033934NIDA NIH HHS U01 DA053625
6 · The paper itself

Abstract

Background: An economon is a dyadic economic unit of two participants who exchange mutually reinforcing commodities (e.g., addictive drugs for money). A human economon often consists of a buyer providing money to a supplier, while the supplier reciprocally provides some commodity to the buyer. Here, we develop the Quantitative Economon Model (QEM) by reviewing basic principles of behavioral economics and translating those principles into a quantitative model characterizing transactional behavior between buyers and suppliers that would be applicable to transactions involving drugs specifically, as well as other commodities. According to the model, transactions between a buyer and supplier depend on their respective economic demand for the commodities exchanged. Additionally, the model assumes that demand for commodities fluctuates across sequential transactions due to satiation and deprivation associated with consumption of those commodities, of particular relevance to addictive drugs. Methods: We used a computational approach to simulate data from the QEM according to four conditions representing parametric manipulations of high or low levels of deprivation crossed with high or low levels of satiation (i.e., a 2×2 matrix of conditions). Results: Simulations revealed patterns of transactional behavior that may be characteristic of a range of commodities. In particular, when deprivation-effects were high and satiation-effects were low, simulated transaction rates were characteristic of the high consumption rates observed with addictive drugs. In other conditions, transaction rates varied along patterns characteristic of consumption for other commodities like food. In sum, the QEM provides a framework for modeling, investigating, and predicting patterns of human transactional behavior.

Indexed as

addictionagent-based modelingcomputational psychiatryeconomonfentanylopioidsocial interactionsubstance use disorders

Identifiers

PMID40672322
PMCPMC12265639

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.