Modeling as Visioning: Exploring the Impact of Criminal Justice Reform on Health of Populations with Substance Use Disorders
Natasha Martin
Leo Beletsky
Benjamin Linas
Ahmed Bayoumi
Harold Pollack
SimpleOriginal

Summary

Punitive drug policies have not reduced harmful use and have caused widespread harm. This article highlights how simulation modeling can help evaluate and guide both incremental and transformative drug policy reforms.

2023

Modeling as Visioning: Exploring the Impact of Criminal Justice Reform on Health of Populations with Substance Use Disorders

Keywords modeling; decriminalization; opioid; drug; harm reduction

Abstract

In the context of historic reckoning with the role of the criminal-legal system as a structural driver of health harms, there is mounting evidence that punitive drug policies have failed to prevent problematic drug use while fueling societal harms. In this explainer article, we discuss how simulation modeling provides a methodological framework to explore the potential outcomes (beneficial and harmful) of various drug policy alternatives, from incremental to radical. We discuss potential simulation modeling opportunities while calling for a more active role of simulation modeling in visioning and operationalizing transformative change.

Modeling as Visioning: Exploring the Impact of Criminal Justice Reform on Health of Populations with Substance Use Disorders

The overdose crisis has unfolded over the past 2 decades and surged during the COVID-19 pandemic in the United States. 1 In the face of this crisis, many evidence-informed policy and clinical responses (e.g., overdose prevention centers, drug-checking services, safer opioid supply prescribing, reclassification of naloxone to permit over-the-counter sales in the United States, telemedicine solutions to prescribing medications for opioid use disorder) have demonstrated efficacy yet remain underutilized.

At the same time, criminal-legal responses to illicit drug use remain heavily resourced and disproportionately affect people of color—despite mounting evidence that the war on drugs has failed to prevent problematic drug use while fueling societal harms including disruption of community and familial bonds and exclusion from the formal labor market. 2 While incarceration is associated with poor health outcomes generally, punitive drug policies and incarceration of people who use drugs are also associated with an elevated risk of drug overdose, HIV, hepatitis C virus, and tuberculosis.35

Frustrated by the failure of incrementalist reforms, social movements focused on racism, police violence, the carceral state, and drug policy are calling for a reenvisioning of how societies tackle these core challenges. 6 Such reenvisaged drug policies include diversion and deflection interventions (programs that divert people with low-level criminal offenses away from the criminal justice system and into substance use disorder treatment and other community services but where drug possession remains illegal), discretionary policing (such as elective nonenforcement of certain criminal provisions to reduce the harm of drug markets), depenalization (dramatically reduced penalties or criminal-legal system attention on legal infractions related to personal drug use), decriminalization (removal of criminal penalties for possession of drugs for personal use, but where there is no structure to provide legal, regulated supply), outright legalization of particular substances (where the substance is permitted by law, generally implying a legal supply), prison abolition (reducing or eliminating the prison system and replacing it with rehabilitation systems and social welfare programs to reduce poverty and reshape structural determinants of health), and more. In practice, each of these policy changes could be written and enacted in different ways and therefore vary in both structure and impact.

A recent Lancet Commission on “Responding to the Opioid Crisis in North America and Beyond” recommended that “policies of incarcerating individuals for illicit possession of opioids or drug-related equipment intended for personal use should be abandoned because they present significant public health risks without offsetting public health or public safety gains.” 1 Currently, more than 50 US counties and tribes are implementing diversion or deflection programs. Calls for decriminalization of drug use have led to policy change in some jurisdictions. The Netherlands, Czech Republic, Portugal, and Mexico, among other countries, have implemented various types of decriminalization reforms. In Canada, the province of British Columbia has begun a 3-y trial of decriminalization of personal possession of opioids, crack and powder cocaine, methamphetamine, and MDMA. In 2021, Oregon became the first US state to decriminalize drug use and expand access to addiction treatment and harm reduction services, More narrowly, nonmedical use of cannabis is legal in 23 US states and decriminalized in 8 states as of 2023.

Public safety challenges and their perception drive investments in policing and other carceral systems. Residents of low-income communities and communities of color report increasing concerns regarding crime and public safety. In many cases, such concerns are framed in terms that assume a link between policing and other security elements on the one hand and safety on the other. Proponents of strict sentences for drug-related crimes argue that the benefits offset the harms and that these policies deter drug use and associated crime. Although an effective police presence can deter crimes against persons, claims that public safety is enhanced though harsh criminal-legal sanctions focusing on drug use and sales are seldom confirmed.7,8 A complex debate about public safety policy is ongoing with special focus on benefits versus harms of continued investment in policing, prisons, and other elements of the carceral system.

Simulation modeling provides a methodological framework to explore the potential outcomes (beneficial and harmful) of various drug policy alternatives, from incremental to radical. However, the role of simulation modeling in operationalizing the health and health economic outcomes of this vision remains underexamined. The following commentary arose from a panel discussion presented November 10, 2021, at the Opioid Overdose Modeling for Policy Change Webinar that sought to explore these questions.

The Role of Simulation Modeling

Epidemic and economic simulation modeling can aid policy makers in forecasting the population impact (both benefits and harms) and cost-effectiveness of different policy options. This is particularly useful when randomized trials are infeasible or difficult (e.g., decriminalization of drug use) or when trials are feasible but limited in their ability to track long-term outcomes (e.g., long-term impact on HIV or hepatitis C [HCV] transmission and mortality) and multiple outcomes (e.g., cost, crime, and health). Simulation models can provide a synthetic “test lab” to integrate data from multiple studies and estimate the complex and often interacting long-term health and economic impacts of policy changes. These simulation models can range in complexity from the relatively simple (decision tree or Markov models) to more sophisticated (compartmental, microsimulation, or individual-based network disease transmission models), depending on the question and data availability.

Modeling can be useful both before an intervention or policy change occurs (to assess theoretical potential impact) or after an intervention (to assess observed impact and project future long-term population impacts). Although there is currently only sparse and inconsistent data in select settings on effectiveness of more radical criminal justice reform policies (e.g., drug decriminalization or legalization) on justice involvement and health outcomes among substance using populations,9,10 there remains utility in using scenario modeling to explore potential policies and outcomes even prior to more widespread policy changes. As effectiveness data accumulate in settings exploring various types of drug decriminalization and diversion, modeling can be a critical tool in evaluating the current and future impact of these programs.

Modeling Health Interventions in Criminal Justice Settings

To date, most models assessing the health impact of interventions in carceral settings for people who use drugs have studied incremental reforms and focused narrowly on impacts in one health domain, such as opioid overdose. For example, a modeling study in Rhode Island showed that medications for opioid use disorder (MOUD; i.e., methadone, burprenorphine, and extended-release naltrexone) at release from prison or jail would avert 5.8% of overdose deaths from 2017 to 2024. 11 A follow-on study found that if MOUD was prescribed to all persons for whom it was clinically indicated in 2016, 1,840 deaths would have been prevented in the United States, with an additional 440 prevented if MOUD had been provided while they were incarcerated and postrelease. 12A modeling analysis in Australia showed that opiate agonist therapy (OAT, methadone and buprenorphine) provision reduced overdose and other-cause mortality among people who received it by 53% from 2001 to 2020 and that postincarceration OAT linkage accounted for 12% of the deaths prevented. Cost-effectiveness models of post-incarceration MOUD have generally focused on economic implications of reducing recidivism, but one evaluation of OAT upon prison release in Australia found it cost-effective in reducing mortality. 13 In addition, a recent economic evaluation in Massachusetts found that providing all 3 MOUDs to incarcerated individuals and on release would prevent overdose and is more cost-effective compared with a naltrexone-only strategy. 14 Importantly, community interventions can also have criminal justice impacts; one US study found that MOUD in the community reduces both health and criminal justice costs (through the impact of MOUD on reducing recidivism). 15

Other models have focused on corrections-based treatment programs for infectious diseases associated with substance use disorder, such as HIV and HCV. These models examined the impact of HCV testing and treatment programs in prison in the United Kingdom, Canada, Australia, Ireland, and the United States, showing initiatives are cost-effective1620 and can reduce HCV incidence in the community. Similarly, models have shown HIV testing and treatment in prison, jails, or on release is cost-effective in preventing HIV transmission the United States.2124

Modeling Foundational Criminal Justice Reforms

Numerous modeling studies have explored the potential impact of a highly localized form of drug decriminalization, enacted through overdose prevention centers (OPCs; also termed supervised consumption sites). OPCs are places where individuals can consume preobtained drugs monitored by staff who can intervene if an overdose occurs. Modeling studies based on Canadian data indicate OPCs are effective in preventing HIV, HCV, and overdose and are cost-effective in Canada.2529 Theoretical modeling studies indicate OPCs could be effective and cost-effective in reducing HIV, HCV, overdose, skin and soft-tissue infections, and bacterial infections among people who use drugs in US settings.3033

A handful of simulation modeling studiees have examined the impact of drug diversion programs and depenalization/decriminalization policy changes on health among substance using populations. 5 Using observational data on a jail diversion program for low-level drug offenders in King County, Washington, modeling indicated this program could reduce HIV and HCV incidence by 3% over 10 y, reduce overdose deaths by 10% over 10 y, and was cost-effective. 34 A theoretical analysis in Perry County, Kentucky, showed that a potential decriminalization reform, if resulting in halved incarceration/reincarceration rates and diversion to MOUD, could prevent more than half of new HCV infections among people who inject drugs (PWID) over 10 y. 35 A study of Mexico’s 2012 public health–oriented drug law reforms, which depenalized drug possession and expanded diversion to drug treatment, used a modeling analysis based on longitudinal cohort data among PWID in Tijuana and found that a lack of implementation meant the reforms had little impact on HIV among PWID as of 2018. If fully implemented, however, these measures could prevent 21% of new HIV infections among PWID between 2018 and 2030. 10

Few studies examine the economic implications of potential decriminalization coupled with reinvestment in public health approaches. A recent theoretical study showed that decriminalization in Belarus, Kazakhstan, Kyrgyzstan, and St Petersburg could be cost-saving (saving 38–773 million euros). Reinvestment of these savings into public health (HIV antiretroviral treatment and OAT) could prevent 59% to 84% of HIV infections among PWID over 20 y. 36

Importantly, these analyses have explored a relatively narrow set of conceptualizations of “decriminalization” and associated benefits and harms. Further, as decriminalization includes multiple sectors (police, courts, carceral systems, health systems, social systems), so a systems-level approach to modeling is required to fully capture the implications across different sectors.

A movement for prison abolition has gained momentum, seeking to decarcerate (i.e., release currently incarcerated persons through review and reassessment of convictions and sentences), excarcerate (i.e., prevent incarceration through decriminalization of certain offences and strengthening social welfare and mental health systems), and develop alternatives to incarceration that focus on rehabilitation and restorative justice rather than punishment. 37 To our knowledge, there has been no concerted effort to explore an abolitionist framework with simulation modeling. While a few modeling studies have examined the contribution of incarceration to health harms, where the hypothetical alternative is no incarceration, these studies do not explicitly explore abolition futures or frame these as policy options per se.3,16,38

An Opportunity for Modeling Imagination

The above models demonstrate the potential benefits of incremental reform or narrowly visioned depenalization and decriminalization. These models are appealing because, like much drug policy research, they take a recognizable and current reality and build in change that may be viewed as politically and administratively realistic or actionable. 39One advantage of simulation modeling, however, is that we need not limit analyses to what is likely or even—in the moment—practical or feasible. Instead, models can facilitate speculation on alternative futures, producing results that serve to provoke discussion of a broad range of policy alternatives, even those that may seem unlikely or utopian. 39 In doing so, models need not just enumerate outcomes of different scenarios; they can create and shape discourse around which scenarios are even possible, bringing alternative futures that may be seen as unrealistic into the realm of the achievable. 40Recognizing incarceration as just one policy option among many opens up opportunities to model futures that do not include carceral settings or radically reimagine their focus and remit and, in the process, create the potential for those futures to become reality.

What might such exploratory, speculative models look like? In the context of the overdose crisis, models exploring radical decarceration, excarceration, expungement, pardoning, reparations payments, 41 resource shifting from law enforcement to mental health and substance use treatment systems, drug legalization, overdose prevention centers (which require exemption from federal drugs laws), and safer opioid supply prescribing may all be warranted. Different effects may be observed for decriminalization policies (thus affecting those who could potentially be incarcerated) compared with excarceration (thus affecting those who are currently incarcerated), and models can be used to examine these different populations. Outcomes could include health (overdose, HIV, HCV, skin and soft-tissue infections, mental health), drug use, crime, housing, criminal justice costs, economic productivity, considerations of health disparities and social equity, among others. Such models could compare outcomes to the status quo, providing both realistic enumerations of benefits and harms of alternatives and an explicit assessment of outcomes associated with current law enforcement–based responses to drug use.

Another advantage of simulation models is that they can facilitate the discussion of tradeoffs and potential unintended consequences. For example, abolition provokes understandable anxiety around the potential for crime to increase in response to specific interventions. 42 Simulation models allow us to simultaneously examine health and crime implications of policy alternatives—and to examine contextual and program factors that may magnify or undermine a program’s intended social impact. Doing so is important, as policy makers likely will not take seriously an analysis that is unaware of such concerns. Data on drug offenses for the periods before and after decarceration efforts in response to the COVID-19 pandemic may be useful to this end.

The potential impact of this type of visionary modeling could be profound. We note historical and contemporary examples of academic researchers and other individuals afforded “authority” in policy making (e.g., physicians) in supporting grass roots harm reduction movements, including acts of civil disobedience such as the establishment of unsanctioned overdose prevention centers in the face of escalating overdose deaths and inaction from official channels.4345 Simulation models provide a platform for generating the “what if” data that activists can use when speaking to policy makers and advocating for change. Furthermore, they can make explicit the hidden toll of status quo policies that goes unacknowledged in policy discussions because there is no counterfactual world to which to compare outcomes.

Together, incremental and more radical vision-changing models can complement each other in supporting policy making much in the same way that harm reduction policies have benefited from movements on each end of the spectrum. We therefore call on modelers to explore radical interventions to reduce drug-related harm and model grand alternative futures in addition to more probable scenarios, with a goal of opening up policy discourse to these options.39,40

Abstract

In the context of historic reckoning with the role of the criminal-legal system as a structural driver of health harms, there is mounting evidence that punitive drug policies have failed to prevent problematic drug use while fueling societal harms. In this explainer article, we discuss how simulation modeling provides a methodological framework to explore the potential outcomes (beneficial and harmful) of various drug policy alternatives, from incremental to radical. We discuss potential simulation modeling opportunities while calling for a more active role of simulation modeling in visioning and operationalizing transformative change.

Summary

The escalating opioid crisis, exacerbated by the COVID-19 pandemic, necessitates a reevaluation of current criminal justice responses to substance use disorders. While evidence-based interventions exist, their underutilization contrasts with the continued, disproportionate application of punitive measures, particularly affecting marginalized communities. These punitive approaches have demonstrably failed to curb drug use while generating significant societal harm.

The Limitations of Incremental Reform

Social movements advocating for systemic change are challenging the efficacy of incremental reforms. Proposals range from diversion programs and decriminalization to legalization and prison abolition, each with varying structural implications and potential impacts. While some jurisdictions have implemented decriminalization or diversion initiatives, a comprehensive shift necessitates a critical assessment of the broader consequences. The perception of public safety often drives investment in carceral systems, despite limited evidence supporting the deterrent effect of harsh drug-related penalties.

The Utility of Simulation Modeling

Simulation modeling offers a valuable methodology to assess the potential outcomes of diverse drug policy alternatives, from incremental adjustments to radical reforms. This approach is particularly relevant when randomized controlled trials are impractical or insufficient to capture long-term and multifaceted effects. Models can integrate data from various sources to forecast the health and economic ramifications of policy changes, spanning from relatively simple to highly complex designs depending on the research question and data availability. The application of this methodology to radical criminal justice reform remains under-explored, despite its potential to inform policy decisions.

Modeling Health Interventions within Criminal Justice Systems

Existing models primarily focus on incremental reforms within carceral settings, often examining single health domains such as opioid overdose. Studies consistently demonstrate the cost-effectiveness of interventions like medication-assisted treatment (MAT) for opioid use disorder (OUD) in reducing mortality and recidivism. Similar models have explored the impact of correctional-based treatment programs for infectious diseases like HIV and HCV, highlighting their cost-effectiveness in preventing transmission.

Modeling Foundational Criminal Justice Reforms

Studies examining the impact of localized drug decriminalization, such as through overdose prevention centers (OPCs), consistently show effectiveness and cost-effectiveness in reducing harm. However, research on the broader impact of drug diversion programs and decriminalization/depenalization policies on health outcomes remains limited. Existing studies suggest potential benefits but highlight the need for comprehensive, systems-level approaches to fully capture the multi-sectoral implications of such reforms. The lack of models explicitly exploring the abolitionist framework represents a significant gap in the research.

Visionary Modeling: Expanding the Scope of Inquiry

Simulation modeling possesses the unique capacity to transcend limitations imposed by current political and administrative realities. It allows for exploration of alternative futures, even those deemed improbable or utopian. Such exploratory modeling can generate data to support advocacy for radical changes, including decarceration, resource reallocation, drug legalization, and expansion of harm reduction services. This approach allows for an examination of potential trade-offs and unintended consequences, fostering more informed policy discussions. By incorporating a wider range of outcomes and considering contextual factors, these models can better inform policy decisions and address concerns surrounding public safety and social equity.

Abstract

In the context of historic reckoning with the role of the criminal-legal system as a structural driver of health harms, there is mounting evidence that punitive drug policies have failed to prevent problematic drug use while fueling societal harms. In this explainer article, we discuss how simulation modeling provides a methodological framework to explore the potential outcomes (beneficial and harmful) of various drug policy alternatives, from incremental to radical. We discuss potential simulation modeling opportunities while calling for a more active role of simulation modeling in visioning and operationalizing transformative change.

The Overdose Crisis and Ineffective Drug Policies

The opioid overdose crisis, exacerbated by the COVID-19 pandemic, highlights the limitations of current criminal justice responses to substance use disorders. Despite evidence-based interventions showing efficacy, their underutilization persists. Simultaneously, punitive drug policies disproportionately impact marginalized communities, failing to curb drug use while causing significant societal harm. These policies contribute to disrupted family structures, limited employment opportunities, and poor overall health outcomes, including increased risks of overdose, HIV, Hepatitis C, and tuberculosis.

Reenvisioning Drug Policies: Beyond Incrementalism

Social movements are advocating for a fundamental shift in how societies address drug use, moving beyond incremental reforms. Proposed policy changes range from diversion programs and discretionary policing to depenalization, decriminalization, legalization, and even prison abolition. Each approach presents unique structural and impactful variations. A Lancet Commission recommends abandoning incarceration for personal drug possession due to substantial public health risks outweighing any potential gains. Various jurisdictions are already experimenting with different models, including diversion programs, decriminalization initiatives (as seen in the Netherlands, Czech Republic, Portugal, and Mexico, among others), and legalization of substances like cannabis.

Public Safety, Policing, and the Carceral State

Public safety concerns often drive investment in policing and incarceration, particularly in low-income and minority communities. While effective policing can deter crimes against persons, the assumption that harsh drug-related penalties enhance public safety remains largely unsubstantiated. Debate continues regarding the cost-benefit analysis of continued investment in carceral systems versus alternative approaches.

Simulation Modeling: A Tool for Policy Exploration

Simulation modeling provides a valuable framework for assessing the potential outcomes of various drug policy alternatives. This approach is particularly useful when randomized controlled trials are difficult or impractical, allowing for exploration of long-term impacts across multiple domains. Models can integrate diverse data sources to estimate complex interactions between policy changes and health, economic, and social outcomes.

Modeling Health Interventions Within the Criminal Justice System

Existing models primarily focus on incremental reforms within carceral settings, often concentrating on single health outcomes like opioid overdose. Studies have demonstrated the cost-effectiveness of interventions such as medication-assisted treatment (MAT) upon release from incarceration and its role in preventing overdose deaths. Models also assess the effectiveness of corrections-based programs for infectious diseases like HIV and Hepatitis C, highlighting the cost-effectiveness of testing and treatment initiatives.

Modeling Foundational Criminal Justice Reforms

Simulation modeling is also being employed to evaluate the impact of broader reforms like overdose prevention centers (OPCs). Studies suggest OPCs effectively reduce overdose deaths and the transmission of infectious diseases, demonstrating cost-effectiveness. However, research evaluating the impact of drug diversion programs and decriminalization/depenalization on health outcomes among substance-using populations remains limited. Available studies suggest positive but varied effects depending on the specific policy and its implementation.

Visionary Modeling: Exploring Radical Alternatives

Simulation modeling offers a unique opportunity to explore radical policy alternatives beyond incremental reforms. By envisioning alternative futures, these models can challenge assumptions and stimulate discussions about potential societal changes. Models could explore scenarios involving decarceration, excarceration, resource reallocation, drug legalization, and safer opioid supply, examining impacts on health, crime, economic productivity, and social equity. Such models could highlight the hidden costs of current policies by offering counterfactual comparisons.

The Power of Visionary Modeling in Policy Change

Visionary modeling can complement incremental approaches, supporting policymaking by providing data on the potential consequences of both realistic and radical interventions. This method can inform policy discussions by quantifying the trade-offs and unintended consequences of various policy options, offering crucial data to policymakers and activists advocating for change. This integrated approach, mirroring harm reduction strategies, offers a more comprehensive and effective pathway toward addressing the complex challenges posed by the opioid crisis.

Abstract

In the context of historic reckoning with the role of the criminal-legal system as a structural driver of health harms, there is mounting evidence that punitive drug policies have failed to prevent problematic drug use while fueling societal harms. In this explainer article, we discuss how simulation modeling provides a methodological framework to explore the potential outcomes (beneficial and harmful) of various drug policy alternatives, from incremental to radical. We discuss potential simulation modeling opportunities while calling for a more active role of simulation modeling in visioning and operationalizing transformative change.

The Overdose Crisis and Ineffective Policies

The opioid crisis, worsening during the COVID-19 pandemic, highlights the limitations of current responses. While evidence-based solutions exist (like overdose prevention centers and safer opioid prescribing), their use remains limited. Simultaneously, the "war on drugs" disproportionately impacts people of color, failing to curb drug use while causing significant societal harm, including joblessness and family breakdown. Imprisonment, a common consequence, correlates with poor health outcomes, increasing risks of overdose, HIV, and other diseases.

A Call for Reimagined Drug Policies

Growing frustration with incremental reforms fuels social movements advocating for a fundamental shift in how societies address drug use. Proposed policy changes range from diversion programs and discretionary policing to decriminalization, legalization, and even prison abolition. These approaches differ significantly in their implementation and potential impact. A recent Lancet Commission recommends abandoning incarceration for personal drug possession due to the significant public health risks without corresponding benefits. Various jurisdictions are experimenting with decriminalization or diversion programs, indicating a growing movement toward reform.

Public Safety and the Carceral System

Public safety concerns often drive investment in policing and prisons. However, claims that harsh drug-related penalties enhance public safety often lack evidence. The debate continues regarding the cost-benefit analysis of continued investment in the carceral system.

Simulation Modeling: A Tool for Policy Evaluation

Simulation modeling offers a way to predict the potential effects of various drug policies. This is especially valuable when randomized trials are impractical or insufficient for assessing long-term, multifaceted impacts. Models can integrate data to estimate the complex effects of policy changes across health and economic domains. The utility of such modeling is particularly relevant when examining radical justice reforms like drug decriminalization. This allows for the exploration of different scenarios, even those that seem far-fetched.

Modeling Health Interventions in Prisons and Jails

Existing models examining health interventions in carceral settings often focus on incremental changes and specific health areas (like opioid overdose). Studies have shown that providing medication for opioid use disorder (MOUD) during and after incarceration can significantly reduce overdose deaths. Similarly, models demonstrate the cost-effectiveness of corrections-based treatment for HIV and HCV. Community-based interventions, such as MOUD, also show positive impacts on both health and criminal justice costs.

Modeling Foundational Criminal Justice Reforms

Some models explore the impacts of localized decriminalization through overdose prevention centers (OPCs), showing positive effects on various health indicators. Other studies analyze drug diversion programs and broader decriminalization policies, with some demonstrating positive effects on health outcomes. However, the implementation and effectiveness of such reforms vary widely. There’s a noticeable lack of simulation models exploring a comprehensive prison abolition framework.

Visionary Modeling: Exploring Radical Alternatives

While existing models primarily focus on incremental reforms, simulation modeling offers the unique opportunity to explore radical alternatives. This includes assessing scenarios like mass decarceration, excarceration, and resource reallocation from law enforcement to treatment. These models can consider numerous outcomes: health, crime rates, housing, costs, and equity. The advantage here is the ability to model potential trade-offs and unintended consequences, providing a more comprehensive policy analysis. Such models could be instrumental in advocating for change and highlighting the hidden costs of the status quo.

Abstract

In the context of historic reckoning with the role of the criminal-legal system as a structural driver of health harms, there is mounting evidence that punitive drug policies have failed to prevent problematic drug use while fueling societal harms. In this explainer article, we discuss how simulation modeling provides a methodological framework to explore the potential outcomes (beneficial and harmful) of various drug policy alternatives, from incremental to radical. We discuss potential simulation modeling opportunities while calling for a more active role of simulation modeling in visioning and operationalizing transformative change.

Summary

Many people have died from overdoses, especially during COVID. Many good ideas to help, like places where people can use drugs safely, haven't been used enough.

The Problem with Drug Laws

Tough drug laws hurt people, especially those from minority groups. Going to jail makes people's health worse and can lead to more overdoses. Many people believe that we need to change how we deal with drugs.

New Ideas for Drug Laws

Some new ideas include giving people help instead of jail time for small drug crimes, changing laws to make it easier to get treatment, and even legalizing some drugs. Different countries are trying out these new ideas.

Using Models to Help

Scientists use computer models to predict what might happen if we change drug laws. These models can show the good and bad effects of different ideas, even if they seem far-fetched. They have been used to understand the impact of things like giving medicine to people leaving jail.

Helping People

By looking at different ideas, we can help make better decisions about how to fight the overdose crisis and make things fairer for everyone. These models can help show the value of helping people rather than punishing them.

Footnotes and Citation

Cite

Martin, N. K., Beletsky, L., Linas, B. P., Bayoumi, A., Pollack, H., & Larney, S. (2023). Modeling as Visioning: Exploring the Impact of Criminal Justice Reform on Health of Populations with Substance Use Disorders. MDM policy & practice, 8(2), 23814683231202984. https://doi.org/10.1177/23814683231202984

    Highlights