TreatMethHarm: An Agent-Based Simulation of How People Who Use Methamphetamine Access Treatment

Methamphetamine use in Australia has recently attracted considerable attention due to increased human and social costs. Despite evidences indicating increasing methamphetamine-related harm and significant numbers of frequent and dependent users, methamphetamine treatment coverage remains low in Australia. This paper aims to investigate the complex interplay between methamphetamine use and treatment-related access by designing an agent-based model, using epidemiological data and expert-derived assumptions. This paper presents the architecture and core mechanisms of an agent-based model, TreatMethHarm, and details the results of model calibration performed by testing the key model parameters. At this stage of development, TreatMethHarm is able to produce proportions of methamphetamine users that replicate those produced by our epidemiological survey. However, this agent-based model still requires additional information and further tests before validation. TreatMethHarm provides a useful tool to elicit dialogue between researchers from different disciplines, integrate a variety of data and identify missing information.

[1]  Raymond R. Hill,et al.  A Survey of Agent-Based Modeling Practices (January 1998 to July 2008) , 2009, J. Artif. Soc. Soc. Simul..

[2]  W. Honer,et al.  The need for speed: an update on methamphetamine addiction. , 2006, Journal of psychiatry & neuroscience : JPN.

[3]  J. Caulkins,et al.  High-frequency drug purity and price series as tools for explaining drug trends and harms in Victoria, Australia. , 2015, Addiction.

[4]  K. Bauman,et al.  Peer group structure and adolescent cigarette smoking: a social network analysis. , 1993, Journal of health and social behavior.

[5]  D. Moore,et al.  Counterpublic health and the design of drug services for methamphetamine consumers in Melbourne , 2015, Health.

[6]  P. Peretti-Watel.  Neutralization theory and the denial of risk: some evidence from cannabis use among French adolescents. , 2003, The British journal of sociology.

[7]  D. Moore,et al.  SimAmph: an agent-based simulation model for exploring the use of psychostimulants and related harm amongst young Australians. , 2012, The International journal on drug policy.

[8]  Igor Mezic,et al.  Agent-based modeling of drinking behavior: a preliminary model and potential applications to theory and practice. , 2006, American journal of public health.

[9]  Howard S. Becker,et al.  Becoming a Marihuana User , 1953, American Journal of Sociology.

[10]  R. West,et al.  Theories of addiction. , 2001, Addiction.

[11]  S. Sussman,et al.  Drug Abuse: Concepts, Prevention, and Cessation , 2008 .

[12]  Nicholas R. Jennings,et al.  Intelligent agents: theory and practice , 1995, The Knowledge Engineering Review.

[13]  P. Dietze,et al.  One-year changes in methamphetamine use, dependence and remission in a community-recruited cohort , 2015 .

[14]  Pascal Perez,et al.  SimDrug, exploring the complexity of heroin use in Melbourne , 2005 .

[15]  A. Cho,et al.  Patterns of Methamphetamine Abuse and Their Consequences , 2001, Journal of addictive diseases.

[16]  John P. Hoffmann,et al.  Parental and Peer Influences on the Risk of Adolescent Drug Use , 2005, Journal of Primary Prevention.

[17]  Pascal Perez,et al.  An ontologic agent-based model of recreational polydrug use: SimUse , 2015, Int. J. Simul. Process. Model..

[18]  Gabriele Bammer,et al.  Extending drug ethno-epidemiology using agent-based modelling. , 2009, Addiction.

[19]  G. Nigel Gilbert,et al.  Agent-Based Models , 2007 .

[20]  B. Lloyd,et al.  Trends in amphetamine‐related harms in Victoria , 2013, The Medical journal of Australia.

[21]  Michael Agar,et al.  Agents in Living Color: Towards Emic Agent-Based Models , 2004, J. Artif. Soc. Soc. Simul..

[22]  Andrew Abbott,et al.  Time Matters: On Theory and Method , 2001 .

[23]  Francois R. Lamy,et al.  SimARC: An Ontology-driven Behavioural Model of Alcohol Abuse , 2011 .

[24]  K. Bauman,et al.  Normative Expectations and the Behavior of Significant Others: An Integration of Traditions in Research on Adolescents' Cigarette Smoking , 1992, Psychological reports.

[25]  P. Dietze,et al.  Methamphetamine use in Melbourne, Australia: baseline characteristics of a prospective methamphetamine-using cohort and correlates of methamphetamine dependence , 2013 .

[26]  P. Dietze,et al.  An exploration of self-perceived non-problematic use as a barrier to professional support for methamphetamine users. , 2013, The International journal on drug policy.

[27]  Gerhard Weiss,et al.  Multi-Agent Systems , 2013 .

[28]  J. Kaldor,et al.  The force of numbers: why hepatitis C is spreading among Australian injecting drug users while HIV is not , 1999, The Medical journal of Australia.

[29]  R. De La Garza,et al.  Theories of addiction: methamphetamine users' explanations for continuing drug use and relapse. , 2009, The American journal on addictions.

[30]  Robert J. Morris,et al.  Simulating Patterns of Heroin Addiction Within the Social Context of a Local Heroin Market , 2012 .