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Rationale: Theories of addiction guide scientific progress, funding priorities, and policy development and ultimately shape how people experiencing or recovering from addiction are perceived and treated. Choice theories of addiction are heterogenous, and different models have divergent implications. This breeds confusion among laypeople, scientists, practitioners, and policymakers and reduces the utility of robust findings that have the potential to reduce the global burden of addiction-associated harms.
Objective: Here we differentiate classes of choice models and articulate a novel framing for a class of addiction models, called contextual models, which share as a first principle the influence of the environment and other contextual factors on behavior within discrete choice contexts.
Results: These models do not assume that all choice behaviors are voluntary, but instead that both proximal and distal characteristics of the choice environment-and particularly the benefits and costs of both drug use and non-drug alternatives-can influence behavior in ways that are outside of the awareness of the individual. From this perspective, addiction is neither the individual's moral failing nor an internal uncontrollable urge but rather is the result of environmental contingencies that reinforce the behavior.
Conclusions: Contextual models have implications for guiding research, practice, and policy, including identification of novel target mechanisms while also improving existing interventions.
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http://dx.doi.org/10.1007/s00213-024-06646-1 | DOI Listing |
J Math Biol
September 2025
Department of Mathematics, University of Illinois Urbana-Champaign, Urbana, USA.
A fundamental question in the field of molecular computation is what computational tasks a biochemical system can carry out. In this work, we focus on the problem of finding the maximum likelihood estimate (MLE) for log-affine models. We revisit a construction due to Gopalkrishnan of a mass-action system with the MLE as its unique positive steady state, which is based on choosing a basis for the kernel of the design matrix of the model.
View Article and Find Full Text PDFQual Life Res
September 2025
School of Pharmacy, CHOICE Institute, University of Washington, 1956 NE Pacific St H362, Seattle, WA, 98195, USA.
Purpose: Typically, cost-effectiveness analyses use societal utility weights for health states. These anticipated utility weights are derived from asking the general population to assess the impacts of hypothetical health states on their quality-of-life. This study evaluates how these weights align with real-world self-reported experienced health statuses.
View Article and Find Full Text PDFJ Pers
September 2025
Department of Developmental Psychology, Tilburg University, Tilburg, the Netherlands.
Objective: In recent decades, increased freedom of choice and advancements in fertility regulation have allowed individuals to follow different fertility paths. This greater autonomy provides room for personality traits to shape long-term fertility expectations, which in turn can be predictive of fertility outcomes. The present study investigates how Big Five personality traits are related to fertility expectations trajectories and outcomes.
View Article and Find Full Text PDFFront Nutr
August 2025
Thaer-Institute-Div. Urban Plant Ecophysiology, Humboldt-Universität zu Berlin, Berlin, Germany.
Background: Changes in consumer food choices have been associated with transformation in the food environment. Despite the direct impact of consumers' food choices on their diet and health outcomes, there is a lack of comprehensive evidence regarding how various factors within the food environment impact these choices.
Methods: This study uses the Theory of Planned Behavior to examine how socio-psychological factors in the food environment influence consumers' healthy food choices.
Front Oncol
August 2025
Department of Gynecology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China.
Objective: The risk of lymph node metastasis significantly influences the choice of surgical strategy for patients with early-stage endometrial cancer. While sentinel lymph node dissection can be considered in clinically early-stage endometrial cancer, lymph node evaluation might be omitted in patients with very low risk of lymph node metastasis. This study aims to develop a predicting model for lymph node metastasis in these patients, identifying potential metastases as thoroughly as possible to provide clinicians with a preoperative reference that helps in decisions about surgical procedures and treatments.
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