Milbank Quarterly最新文献

Policy Points There have been significant advancements in expanding care for opioid use disorder and suicide in general medical settings in the first quarter of the 21st century. Incessant barriers in the US health system continue to hinder progress in sufficiently scaling up evidence-based behavioral health interventions and getting them to those at highest risk. State policymakers have multiple levers available to make significant improvements to address ongoing challenges and improve access to evidence-based behavioral health services in emergency and primary care settings.

Policy Points There has been a pronounced shift from injecting to smoking drugs in the United States. This shift has the potential to reduce many health harms associated with illicit drug use. State laws are structural barriers to the provision of safer smoking supplies, cause preventable harm, and should be repealed.

Policy Points Among patients with chronic noncancer pain, state medical cannabis laws did not impact health care use for opioid use disorder. There were no changes in health care use for opioid overdose attributable to medical cannabis laws. Medical cannabis laws do not appear to lead to reductions in adverse opioid-related outcomes.

Context: State medical cannabis laws, currently in place in 39 states and Washington, DC, provide an avenue for therapeutic use of cannabis to manage chronic noncancer pain stemming from conditions such as arthritis and low back pain. These laws may also influence cannabis and opioid addiction and overdose, for example, if people substitute cannabis in place of opioids to manage pain. No studies, to our knowledge, have examined how state medical cannabis laws influence health care use related to addiction to or overdose from cannabis or opioids among people with chronic noncancer pain.

Methods: We used a difference-in-differences design and augmented synthetic control analyses comparing changes in cannabis use disorder (CUD) and opioid use disorder (OUD) treatment and cannabis and opioid overdose-related health care use before and after medical cannabis law implementation among Medicare beneficiaries with chronic noncancer pain in seven states (Florida, Maryland, Minnesota, New Hampshire, New York, Oklahoma, and Pennsylvania) relative to changes in outcomes over the same period in 17 comparison states (Alabama, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky, Mississippi, Nebraska, North Carolina, South Carolina, South Dakota, Tennessee, Texas, Virginia, Wisconsin, and Wyoming) without medical cannabis laws.

Findings: State medical cannabis laws had an estimated average effect of less than 0.005 percentage points on the overall proportion of patients receiving any CUD or OUD treatment, less than 0.009 percentage points on the proportion of patients newly initiating CUD or OUD treatment, and less than 0.0005 percentage points on the proportion of patients receiving overdose-related health care for cannabis or opioid overdoses (p > 0.05 for all findings).

Conclusions: Our study did not identify effects of state medical cannabis laws on health care use related to CUD or OUD treatment or overdose among Medicare beneficiaries younger than age 65 years with chronic noncancer pain.

Policy Points State policymakers have moved rapidly to regulate adolescent social media use, frequently stating concerns about mental health, harmful content exposure, and developmental impacts. The degree to which policymakers' arguments in favor of state social media regulations correspond to the state of the current scientific evidence remains questionable. The evidence to substantiate policymakers' assertions has substantial limitations in the ability to answer causal questions, but some promising directions are emerging around targeted protections for highly susceptible youth.

Context: The potential adverse effects of social media use for adolescents have received substantial attention. In response, a growing number of state-level social media regulations are emerging in the United States. These policy interventions are being implemented in the context of mixed scientific evidence, forcing policymakers to weigh the need for proactive regulation against the limitations of extant research. We explore policymakers' publicly stated rationales for social media regulations and contextualize their claims within extant scientific literature.

Methods: We conducted a media content analysis of elected government officials' statements about 69 state social media legislative initiatives that were adopted or enacted prior to September 2024 using Google News. Subsequently, we critically reviewed the strength of the evidence underlying common themes.

Findings: We screened 637 documents, included 161, and extracted three main themes connected to claims about social media-related adolescent harms: (1) harm to adolescents' mental health (mentioned in 55 articles), including six subthemes (e.g., social media addiction, self-harm or suicide, anxiety and depression); (2) exposure to dangerous online content (73 mentions), including five subthemes (e.g., access to pornography, risks of sexual exploitation); and (3) harm to adolescent development (38 mentions), including three subthemes (i.e., negative impacts on learning, social relationships, and brain development). We identified some evidence to support associations between social media use and adverse outcomes, particularly for vulnerable youth, but, overall, the current research base has significant limitations and cannot definitively establish causal effects.

Conclusions: State policymakers have moved rapidly to regulate adolescent social media use, often citing concerns about mental health, harmful content, and developmental impacts. The evidence to substantiate these assertions remains preliminary, but some promising directions are emerging around targeted protections for highly susceptible youth. We formulate a research agenda to inform evidence-based policy.

Policy Points The role of Medicaid in financing, organizing, and delivering substance use disorder (SUD) treatment has grown tremendously over time owing to expansions of eligibility and a push toward more uniformity in benefits. Current innovations in SUD treatment focus on expanding the delivery system to create a comprehensive continuum of care, using more value-based payment to reward quality care, and integrating SUD treatment with other systems (e.g., housing, employment, and the criminal legal system). Many of the promising innovations in delivery have not yet been rigorously studied, and implementation of effective models is often stymied because of the lack of flexibility in program requirements and variation in needs and resources across communities. Although policymakers can justifiably laud the great strides Medicaid has made in raising the standards for SUD treatment, there is a huge remaining gap in access to services amidst an unprecedented overdose crisis and looming turmoil in the program.

Policy Points To address persistent gaps in behavioral health care access and availability, particularly for underresourced populations, state policymakers have implemented four core strategies to address the shortage of behavioral health providers serving the Medicaid population. In this paper, we describe each of these state policy strategies, discuss their potential workforce and service impacts, and highlight unanswered questions about their effectiveness and implementation. Altogether, our review of these policy strategies suggests that rigorous evaluation of these state policy strategies is needed along with broader transformations to the behavioral health system to sustainably grow and retain the workforce in the long term.

Policy Points The sources and adequacy of funding for crisis systems currently varies significantly among the US states and across services in the crisis continuum. Crisis services are funded by a wide range of sources, including 988 telecom fees and other state appropriations, community mental health services block grants and other federal funding sources, Medicaid, and commercial insurance. Priority areas for research related to financing crisis systems include evaluating the effects of 988 telecom fees, value-based payment models, and non-Medicaid payors.

Policy Points This perspective argues that state economic and social support policies are key determinants of population mental health. Key policy successes of the past decade include state expansion of Medicaid eligibility, increase in minimum wage, and implementation of paid sick leave. Key policy priorities include the prioritization of evidence-based policies that improve economic security and the expansion of social support policies that are not tied to employment.

Policy Points Menthol-flavored e-cigarettes are disproportionately used by youth who co-use other substances; allowing menthol sales may undermine efforts to reduce poly-tobacco and poly-substance use. Fruit/ice-fruit flavors are most common among lower-risk youth (those not engaged in other substance use), and banning these flavors could help prevent nicotine initiation. Because nearly all youth who vape use non-tobacco-flavored e-cigarettes, comprehensive policies that eliminate access to all non-tobacco-flavored e-cigarettes, including menthol, may be more effective than selective bans. Stronger enforcement and broader flavor restrictions could help prevent initiation and reduce sustained use, particularly among youth who co-use menthol-flavored e-cigarettes and other substances.

Context: The specific nontobacco e-cigarette flavors used by US youth who exclusively vape e-cigarettes compared with youth who engage in poly-tobacco or poly-substance use can help identify the populations most likely to be impacted by e-cigarette flavor policies. This study examines correlations between e-cigarette flavor use and past 30-day tobacco and substance use among US youth who vape.

Methods: We analyzed the Monitoring the Future survey data (2021-2023), a nationally representative annual study of US eighth, tenth, and 12th graders. Among 14,675 participants who vaped nicotine in the past year, we assessed their most frequently used e-cigarette flavor: fruit/ice-fruit, menthol, mint, sweet, tobacco, or unflavored. Log-binomial regression models estimated adjusted prevalence ratios (APRs) for correlations between e-cigarette flavor use and past 30-day tobacco and substance use, adjusting for sociodemographic characteristics and e-cigarette use.

Findings: Few youth predominately vaped tobacco-flavored (1.3%) or unflavored (3.6%) e-cigarettes, regardless of whether they did or did not use other tobacco products or nontobacco substances. Menthol-flavored (12.1%) e-cigarette use was correlated with past 30-day cigarette (APR 1.53, 95% CI 1.29-1.81), smokeless tobacco (APR 1.53, 95% CI 1.24-1.89), cigars/hookah tobacco products (APR 1.51, 95% CI 1.13-2.02), and alcohol (APR 1.16, 95% CI 1.02-1.32) use. In contrast, fruit/ice-fruit-flavored (72.3%) e-cigarettes were less commonly used among youth who smoked cigarettes (APR 0.83, 95% CI 0.76-0.90), used smokeless tobacco (APR 0.83, 95% CI 0.75-0.91), or reported noncannabis illicit drug use (APR 0.89, 95% CI 0.80-0.98).

Conclusions: Closing federal regulatory loopholes and implementing state and local bans on all non-tobacco-flavored e-cigarettes may support efforts to reduce youth nicotine uptake. Policies that limit access and sales to menthol-flavored e-cigarettes could be particularly relevant for youth at risk of poly-tobacco or poly-substance use.

Policy Points State "must-query" prescription drug monitoring programs (PDMPs) were associated with increased overdose deaths, suggesting these policies may have unintended consequences. Black and Hispanic populations experienced disproportionately higher increases in overdose deaths following must-query PDMP adoption, highlighting that these policies may contribute to health disparities. Addressing systemic inequities in health care access and substance use treatment may help supplement the effective components of PDMPs, ensuring that these policies reduce rather than exacerbate overdose deaths.

Context: Despite recent declines in national overdose deaths, these reductions have not been equitably experienced. Black and Hispanic communities continue to face rising rates of opioid-related mortality, even as overdose death rates among White individuals have begun to decline. One of the most widely implemented policy responses to the overdose crisis has been the adoption of prescription drug monitoring programs (PDMPs), particularly "must-query" mandates requiring prescribers to consult the PDMP before issuing controlled substances. However, limited research has examined whether the impact of these mandates varies by race and ethnicity.

Methods: We used restricted-use National Vital Statistics System data from 2013 to 2020 to estimate county-level overdose mortality stratified by drug type and race and ethnicity. We categorized deaths as follows: (1) all drug overdoses, (2) all opioid overdoses, and (3) natural/semisynthetic opioid overdoses. Exposure to must-query mandates was modeled as the proportion of the prior year during which mandates were in effect. Using Bayesian spatiotemporal models with county random effects and spatial autocorrelation, we estimated relative rates (RRs) for each outcome overall and by race and ethnicity, adjusting for state policies and sociodemographic characteristics.

Findings: Must-query mandates were associated with increases in overdose deaths across all groups, with the largest relative increases among Hispanic (RR = 1.32, 95% credible interval [CrI]: 1.21-1.44) and Black individuals (RR = 1.23, 95% CrI: 1.14-1.33) compared with White individuals (RR = 1.14, 95% CrI: 1.10-1.19). These increases were also observed among Black and Hispanic individuals for natural/semisynthetic opioid overdoses.

Conclusions: PDMP must-query mandates are not uniformly protective across racial and ethnic groups. Increases in overdose mortality following adoption, particularly among Black and Hispanic populations, underscore the need to evaluate drug policies through an equity lens and consider broader structural determinants of health that shape their effectiveness.