Prescription drug monitoring programs operational characteristics and fatal heroin poisoning

The role of prescription opioid and cannabis supply policies on opioid overdose deaths

Mandatory prescription drug monitoring programs and cannabis legalization have been hypothesized to reduce overdose deaths. We examined associations between prescription monitoring programs with access mandates (must-query PDMPs), legalization of medical and recreational cannabis supply, and opioid overdose deaths in United States counties in 2013-2020. Using data on overdose deaths from the National Vital Statistics System, we fit Bayesian spatiotemporal models to estimate risk differences and 95% credible intervals (CrIs) in county-level opioid overdose deaths associated with enactment of these state policies. Must-query PDMPs were independently associated with on average 0.8 (95% CrI, 0.5-1.0) additional opioid-involved overdose deaths per 100 000 person-years. Legal cannabis supply was not independently associated with opioid overdose deaths in this time period. Must-query PDMPs enacted in the presence of legal (medical or recreational) cannabis supply were associated with 0.7 (95% CrI, 0.4-0.9) more opioid-involved deaths relative to must-query PDMPs without any legal cannabis supply. In a time when overdoses are driven mostly by nonprescribed opioids, stricter opioid prescribing policies and more expansive cannabis legalization were not associated with reduced overdose death rates. This article is part of a Special Collection on Mental Health.

How do restrictions on opioid prescribing, harm reduction, and treatment coverage policies relate to opioid overdose deaths in the United States in 2013-2020? An application of a new state opioid policy scale

BACKGROUND

Identifying the most effective state laws and provisions to reduce opioid overdose deaths remains critical.

METHODS

Using expert ratings of opioid laws, we developed annual state scores for three domains: opioid prescribing restrictions, harm reduction, and Medicaid treatment coverage. We modeled associations of state opioid policy domain scores with opioid-involved overdose death counts in 3133 counties, and among racial/ethnic subgroups in 1485 counties (2013-2020). We modeled a second set of domain scores based solely on experts' highest 20 ranked provisions to compare with the all-provisions model.

RESULTS

From 2013 to 2020, moving from non- to full enactment of harm reduction domain laws (i.e., 0 to 1 in domain score) was associated with reduced county-level relative risk (RR) of opioid overdose death in the subsequent year (adjusted RR = 0.84, 95 % credible interval (CrI): 0.77, 0.92). Moving from non- to full enactment of opioid prescribing restrictions and Medicaid treatment coverage domains was associated with higher overdose in 2013-2016 (aRR 1.69 (1.35, 2.11) and aRR 1.20 (1.11, 1.29) respectively); both shifted to the null in 2017-2020. Effect sizes and direction were similar across racial/ethnic groups. Results for experts' highest 20 ranked provisions did not differ from the all-provision model.

CONCLUSIONS

More robust state harm reduction policy scores were associated with reduced overdose risk, adjusting for other policy domains. Harmful associations with opioid prescribing restrictions in 2013-2016 may reflect early unintended consequences of these laws. Medicaid coverage domain findings did not align with experts' perceptions, though data limitations precluded inclusion of several highly ranked Medicaid policies.

The association of state policies and opioid analgesic amount dispensed from retail pharmacies

IMPORTANCE

States have implemented multiple policies likely to influence opioid prescribing; few national general population studies examine those policies' effects on per-capita opioid morphine milligram equivalents (MME) dispensed.

OBJECTIVE

To examine state policies' effects on opioids per-capita MMEs dispensed at retail pharmacies.

DESIGN

A longitudinal study of associations between MME per capita and implementation of policy interventions at different times across states.

SETTING

United States, 2006-2018 PATIENTS: Data representing approximately 90 % of prescriptions filled at retail pharmacies in the United States.

INTERVENTIONS

States implementing (1) Pain management clinic laws, (2) operational Prescription Drug Monitoring Programs (PDMP), (3) mandatory PDMP use, (4) required continuing medical education for opioid prescribers, (5) medical cannabis dispensary laws, and (6) initial prescription duration limit laws.

MAIN OUTCOMES AND MEASUREMENTS

Monthly county-level opioid MME per-capita.

RESULTS

Pain management clinic policies' effects were modest, not significantly associated with MME per-capita in the year following implementation, but negatively associated in subsequent years. Operational PDMP policies were negatively associated with MME per-capita in all five years following implementation. We found no evidence of significant effects of mandatory PDMP requirements, mandatory continuing medical education policies, or medical cannabis dispensary policies in any of the five years following policy implementation. Initial prescription duration limits were associated with increased per-capita MME dispensed in years 3-5 following implementation.

CONCLUSIONS AND RELEVANCE

Several state policies are associated with reductions in the total amount of opioid analgesic dispensed. Additional research should examine the policies' effects on clinical outcomes in both general and high-risk populations.

Opioid-stimulant trends in overdose toxicology by race, ethnicity, & gender: An analysis in Delaware, 2013-2019

Recent upticks of stimulant presence in overdose deaths suggest the opioid epidemic is morphing, which raises questions about what drugs are involved and who is impacted. We investigate annual and growth rate trends in combined opioid-stimulant overdose toxicology between 2013 and 2019 for White, Black, and Hispanic male and female decedents in Delaware. During these years, toxicology shifted to illegal drugs for all with fentanyl leading the increase and opioid-cocaine combinations rising substantially. While combined opioid-cocaine toxicology grew among Black and Hispanic Delawareans, White males continue to report the highest rates overall. These findings depart from historical patterns and may challenge existing opioid epidemic policies.

Scaling Interventions to Manage Chronic Disease: Innovative Methods at the Intersection of Health Policy Research and Implementation Science

Policy implementation is a key component of scaling effective chronic disease prevention and management interventions. Policy can support scale-up by mandating or incentivizing intervention adoption, but enacting a policy is only the first step. Fully implementing a policy designed to facilitate implementation of health interventions often requires a range of accompanying implementation structures, like health IT systems, and implementation strategies, like training. Decision makers need to know what policies can support intervention adoption and how to implement those policies, but to date research on policy implementation is limited and innovative methodological approaches are needed. In December 2021, the Johns Hopkins ALACRITY Center for Health and Longevity in Mental Illness and the Johns Hopkins Center for Mental Health and Addiction Policy convened a forum of research experts to discuss approaches for studying policy implementation. In this report, we summarize the ideas that came out of the forum. First, we describe a motivating example focused on an Affordable Care Act Medicaid health home waiver policy used by some US states to support scale-up of an evidence-based integrated care model shown in clinical trials to improve cardiovascular care for people with serious mental illness. Second, we define key policy implementation components including structures, strategies, and outcomes. Third, we provide an overview of descriptive, predictive and associational, and causal approaches that can be used to study policy implementation. We conclude with discussion of priorities for methodological innovations in policy implementation research, with three key areas identified by forum experts: effect modification methods for making causal inferences about how policies' effects on outcomes vary based on implementation structures/strategies; causal mediation approaches for studying policy implementation mechanisms; and characterizing uncertainty in systems science models. We conclude with discussion of overarching methods considerations for studying policy implementation, including measurement of policy implementation, strategies for studying the role of context in policy implementation, and the importance of considering when establishing causality is the goal of policy implementation research.

The Drug Overdose Epidemic in the U.S.-Mexico Border Region: Shifts, Progression, and Community Characteristics

OBJECTIVE

Previous studies show the reach of the current drug overdose epidemic into the U.S.-Mexico border region, albeit with a unique border-specific wave pattern compared to national waves and a delayed onset of fentanyl involvement (Wave I: 2002-2011, Wave II: 2012-2016, and Wave III: since 2017). The objective of this study is to examine the community predictors and the progression of overdose deaths across the U.S-Mexico border-specific epidemic waves.

METHOD

Descriptive epidemiological profile of border communities across the unfolding of the opioid epidemic, integrated data from the CDC-WONDER multiple causes of death data set, the CDC SVI, Uniform Crime Report, and the Behavioral Risk Factor Surveillance System. Using spatially adjusted Bayes rates by border-specific epidemic waves, we provide a descriptive profile of the spatial unfolding of the drug overdose epidemic. Negative binomial regression models assessed community predictors of overdose deaths across waves.

RESULTS

Spatial analysis identified moderate to steep increases in drug overdose deaths over the three waves along the border. The impact and unfolding of the epidemic in the U.S.-Mexico border region were not uniform and affecting communities with differing severity and timing. Our study also finds support for social vulnerability and community violence as predictors of overdose deaths over the current wave of the epidemic.

CONCLUSION

Findings suggest that more disadvantaged U.S.-Mexico border communities may encounter increasing rates of overdose death over the coming years. Interventions need to target not only the supply side but also the underlying social root causes for sustainable overdose prevention.

Changes in Opioid and Benzodiazepine Poisoning Deaths After Cannabis Legalization in the US: A County-level Analysis, 2002-2020

BACKGROUND

Cannabis legalization for medical and recreational purposes has been suggested as an effective strategy to reduce opioid and benzodiazepine use and deaths. We examined the county-level association between medical and recreational cannabis laws and poisoning deaths involving opioids and benzodiazepines in the US from 2002 to 2020.

METHODS

Our ecologic county-level, spatiotemporal study comprised 49 states. Exposures were state-level implementation of medical and recreational cannabis laws and state-level initiation of cannabis dispensary sales. Our main outcomes were poisoning deaths involving any opioid, any benzodiazepine, and opioids with benzodiazepines. Secondary analyses included overdoses involving natural and semi-synthetic opioids, synthetic opioids, and heroin.

RESULTS

Implementation of medical cannabis laws was associated with increased deaths involving opioids (rate ratio [RR] = 1.14; 95% credible interval [CrI] = 1.11, 1.18), benzodiazepines (RR = 1.19; 95% CrI = 1.12, 1.26), and opioids+benzodiazepines (RR = 1.22; 95% CrI = 1.15, 1.30). Medical cannabis legalizations allowing dispensaries was associated with fewer deaths involving opioids (RR = 0.88; 95% CrI = 0.85, 0.91) but not benzodiazepine deaths; results for recreational cannabis implementation and opioid deaths were similar (RR = 0.81; 95% CrI = 0.75, 0.88). Recreational cannabis laws allowing dispensary sales was associated with consistent reductions in opioid- (RR = 0.83; 95% CrI = 0.76, 0.91), benzodiazepine- (RR = 0.79; 95% CrI = 0.68, 0.92), and opioid+benzodiazepine-related poisonings (RR = 0.83; 95% CrI = 0.70, 0.98).

CONCLUSIONS

Implementation of medical cannabis laws was associated with higher rates of opioid- and benzodiazepine-related deaths, whereas laws permitting broader cannabis access, including implementation of recreational cannabis laws and medical and recreational dispensaries, were associated with lower rates. The estimated effects of the expanded availability of cannabis seem dependent on the type of law implemented and its provisions.

The Future of the United States Overdose Crisis: Challenges and Opportunities

Policy Points People are dying at record numbers from overdose in the United States. Concerted action has led to a number of successes, including reduced inappropriate opioid prescribing and increased availability of opioid use disorder treatment and harm-reduction efforts, yet ongoing challenges include criminalization of drug use and regulatory and stigma barriers to expansion of treatment and harm-reduction services. Priorities for action include investing in evidence-based and compassionate policies and programs that address sources of opioid demand, decriminalizing drug use and drug paraphernalia, enacting policies to make medication for opioid use disorder more accessible, and promoting drug checking and safe drug supply.

Association of Prescription Drug Monitoring Programs With Opioid Prescribing and Overdose in Adolescents and Young Adults

STUDY OBJECTIVE

Prescription opioid use is associated with substance-related adverse outcomes among adolescents and young adults through a pathway of prescribing, diversion and misuse, and addiction and overdose. Assessing the effect of current prescription drug monitoring programs (PDMPs) on opioid prescribing and overdoses will further inform strategies to reduce opioid-related harms.

METHODS

We performed interrupted time series analyses to measure the association between state-level implementation of PDMPs with annual opioid prescribing and opioid-related overdoses in adolescents (13 to 18 years) and young adults (19 to 25 years) between 2008 and 2019. We focused on PDMPs that included mandatory reviews by providers. Data were obtained from a commercial insurance company.

RESULTS

Among 9,344,504 adolescents and young adults, 1,405,382 (15.0%) had a dispensed opioid prescription, and 6,262 (0.1%) received treatment for an opioid-related overdose. Mandated PDMP review was associated with a 4.2% (95% CI, 1.9% to 6.4%) reduction in annual opioid dispensations among adolescents and a 7.8% (95% CI, 4.7% to 10.9%) annual reduction among young adults. For opioid-related overdoses, mandated PDMP review was associated with a 16.1% (95% CI, 3.8 to 26.7) and 15.9% (95% CI, 7.6 to 23.4) reduction in annual opioid overdoses for adolescents and young adults, respectively.

CONCLUSION

PDMPs were associated with sustained reductions in opioid prescribing and overdoses in adolescents and young adults. Although these findings support the value of mandated PDMPs as part of ongoing strategies to reduce opioid overdoses, further studies with prospective study designs are needed to characterize the effect of these programs fully.

Achieving Reductions in Opioid Dispensing: A Qualitative Comparative Analysis of State-Level Efforts to Improve Prescribing

OBJECTIVE

To determine whether any combinations of state-level public health activities were necessary or sufficient to reduce prescription opioid dispensing.

DESIGN

We examined 2016-2019 annual progress reports, 2014-2019 national opioid dispensing data (IQVIA), and interview data from states to categorize activities. We used crisp-set Qualitative Comparative Analysis to determine which program activities, individually or in combination, were necessary or sufficient for a better than average decrease in morphine milligram equivalent (MME) per capita.

SETTING

Twenty-nine US state health departments.

PARTICIPANTS

State health departments implementing the Centers for Disease Control and Prevention's Prevention for States (PfS) program.

MAIN OUTCOME

Combinations of prevention activities related to changes in the rate of prescription opioid MME per capita dispensing from 2014 to 2019.

RESULTS

Three combinations were sufficient for greater than average state-level reductions in MME per capita: (1) expanding and improving proactive reporting in combination with enhancing the uptake of evidence-based opioid prescribing guidelines and not moving toward a real-time Prescription Drug Monitoring Program; (2) implementing or improving prescribing interventions for insurers, health systems, or pharmacy benefit managers in combination with enhancing the uptake of evidence-based opioid prescribing guidelines; and (3) not implementing or improving prescribing interventions for insurers, health systems, or pharmacy benefit managers in combination with not enhancing the uptake of evidence-based opioid prescribing guidelines. Interview data suggested that the 3 combinations indicate how state contexts and history with addressing opioid overdose shaped programming and the ability to reduce MME per capita.

CONCLUSIONS

States successful in reducing opioid dispensing selected activities that built upon existing policies and interventions, which may indicate thoughtful use of resources. To maximize impact in addressing the opioid overdose epidemic, states and agencies may benefit from building on existing policies and interventions.

A prescription drug monitoring program, data sharing, and upholding states' rights under the United States Constitution

Abuse of physician prescribed opioids contributes to health and economic burdens associated with dependency, overdose, and death. Since the 1900s, the United States (U.S.) Congress has legislated use and misuse of controlled substances. Under the U.S. Constitution, states developed prescription drug monitoring programs (PDMPs) that determine how the program is managed, what data to track, and what information to share with other states. Lack of a standard data set that allows providers to see prescribing data for designated controlled substances across state lines, limits benefits of state PDMPs. A federal PDMP with a standard minimal set of variables shared across states could enhance patient care. States would exercise their police powers while sharing standard data to decrease adverse consequences of the opioid epidemic.

The impact of race, gender, and heroin use on opioid addiction stigma

INTRODUCTION

Stigmatization of an opioid addiction acts as a barrier to those seeking substance use treatment. As opioid use and overdoses continue to rise and affect minority populations, understanding the impact that race and other identities have on stigma is pertinent.

METHODS

This study aimed to examine the degree to which race and other identity markers (i.e., gender and type of opioid used) interact and drive the stigmatization of an opioid addiction. To assess public perceptions of stigma, this research team conducted a randomized, between-subjects case vignette study (N = 1833) with a nation-wide survey. Participants rated a hypothetical individual who became addicted to opioids on four stigma indices (responsibility, dangerousness, positive affect, and negative affect) based on race (White or Black), gender (male or female), and end point (an individual who transitioned to using heroin or who continued using prescription painkillers).

RESULTS

Our results first showed that the White individual had higher stigma ratings compared to the Black individual (range of partial η2 = 0.002-0.004). An interaction effect demonstrated that a White female was rated with higher responsibility for opioid use than a Black female (Cohen's d = 0.21) and a Black male was rated with higher responsibility for opioid use than a Black female (Cohen's d = 0.26). Last, we showed that a male and an individual who transitioned to heroin had higher stigma than a female and an individual who continued to use prescription opioids (range of partial η2 = 0.004-0.007).

CONCLUSION

This study provides evidence that information about multiple identities can impact stigmatizing attitudes, which can provide deeper knowledge on the development of health inequities for individuals with an opioid addiction.

U.S. state policies on opioid prescribing during the peak of the prescription opioid crisis: Associations with opioid overdose mortality

BACKGROUND

In response to the opioid overdose crisis in the United States, many states implemented policies to guide opioid prescribing, but their impact on overdose mortality (prescription and non-prescription) remains poorly understood. We examined the impact of U.S. state opioid-prescribing policies on opioid overdose mortality following implementation.

METHODS

We calculated opioid overdose mortality rates from 1999-2016 by U.S. state using the CDC WONDER database, overall and separately for overdose deaths from prescription and non-prescription opioids. For each state, policies active on 1/1/2014 were reviewed for the presence and strength of six provisions recommending judicious opioid prescribing practices; "strong" provisions used the words "should," "shall," or "must". Interrupted time series (ITS) tested the association of each strong provision with overdose mortality, overall and separately for prescription and non-prescription opioids, in the two years following implementation. Sensitivity analyses compared between states, used time-lagged analyses, and excluded synthetic opioids from non-prescription opioid deaths.

RESULTS

All six provisions had consistent direction of effect in ITS and sensitivity analyses. Strong provisions for prescriber training and limits on opioid dose reduced the slope of overall and prescription opioid overdose mortality in both ITS and sensitivity analyses. Reduced non-prescription opioid overdose mortality was only associated with strong provision for prescriber training. Some provisions had a negative impact. In ITS, strong provision for prescriber response to misuse increased the slope of non-prescription opioid overdose mortality. Strong provision for mandatory prescription drug monitoring program use had no relationship with overdose mortality in ITS and was associated with increased overall, prescription and non-prescription opioid overdose mortality in between-state sensitivity analysis.

CONCLUSION

Opioid prescribing policies in U.S. states at the peak of the prescription opioid epidemic had modest mortality benefit, and did not reduce non-prescription opioid overdose mortality. A strong provision for prescriber training was the only provision associated with reduced prescription and non-prescription opioid overdose mortality. These findings can inform future efforts addressing prescription drug epidemics.

A modified Delphi process to identify experts' perceptions of the most beneficial and harmful laws to reduce opioid-related harm

BACKGROUND

States have enacted multiple types of laws, with a variety of constituent provisions, in response to the opioid epidemic, often simultaneously. This temporal proximity and variation in state-to-state operationalization has resulted in significant challenges for empirical research on their effects. Thus, expert consensus can be helpful to classify laws and their provisions by their degree of helpfulness and impact.

METHODS

We conducted a four-stage modified policy Delphi process to identify the top 10 most helpful and 5 most harmful provisions from eight opioid-related laws. This iterative consultation with six types of opioid experts included a preliminary focus group (n=12), two consecutive surveys (n=56 and n=40, respectively), and a final focus group feedback session (n=5).

RESULTS

On a scale of very harmful (0) to very helpful (4), overdose Good Samaritan laws received the highest average helpfulness rating (3.62, 95% CI: 3.48-3.75), followed by naloxone access laws (3.37, 95% CI: 3.22-3.51), and pain management clinic laws (3.08, 95% CI: 2.89-3.26). Drug-induced homicide (DIH) laws were rated the most harmful (0.88, 95% CI: 0.66-1.11). Impact ratings aligned similarly, although Medicaid laws received the second highest overall impact rating (3.71, 95% CI: 3.45, 3.97). The two most helpful provisions were naloxone standing orders (3.94, 95% CI: 3.86-4.02) and Medicaid coverage of medications for opioid use disorder (MOUD) (3.89, 95% CI: 3.82). Mandatory minimum DIH laws were the most harmful provision (0.73, 95% CI 0.53-0.93); followed by requiring prior authorization for Medicaid coverage of MOUD (1.00 95% CI: 0.72-1.27).

CONCLUSION

Overall, experts rated laws and provisions that facilitated harm reduction efforts and access to MOUD as most helpful. Laws and provisions rated as most harmful criminalized substance use and placed restrictions on access to MOUD. These ratings provide a foundation for evaluating the overall overdose policy environment for each state.

The effects of opioid policy changes on transitions from prescription opioids to heroin, fentanyl and injection drug use: a qualitative analysis

BACKGROUND

Beginning in the 1990s, nonmedical use of prescription opioids (POs) became a major public health crisis. In response to rising rates of opioid dependence and fatal poisonings, measures were instituted to decrease the prescription, diversion, and nonmedical use of POs including prescription drug monitoring programs (PDMPs), pain clinic laws, prescription duration limits, disciplining doctors who prescribed an excessive number of POs, and the advent of abuse deterrent formulations of POs. This paper explores the unintended effects of these policies in the descriptions of why people who use opioids transitioned from PO to injection or heroin/fentanyl use.

METHODS

We conducted 148 in-depth-interviews with people who use prescription opioids nonmedically, fentanyl or heroin from a rural, urban and suburban area in three states, Connecticut, Kentucky and Wisconsin. Interviews with people who use opioids (PWUO) focused on how they initiated their opioid use and any transitions they made from PO use to heroin, fentanyl or injection drug use.

RESULTS

The majority of participants reported initiating use with POs, which they used for medical or nonmedical purposes. They described needing to take more POs or switched to heroin or fentanyl as their tolerance increased. As more policies were passed to limit opioid prescribing, participants noticed that doctors were less likely to prescribe or refill POs. This led to scarcity of POs on the street which accelerated the switch to heroin or fentanyl. These transitions likely increased risk of overdose and HIV/HCV infection.

CONCLUSIONS

A careful analysis of how and why people say they transitioned from PO to heroin or fentanyl reveals many unintended harms of policy changes to prevent overprescribing and diversion. Results highlight the importance of mitigating harms that resulted from policy changes.

The estimated impact of state-level support for expanded delivery of substance use disorder treatment during the COVID-19 pandemic

BACKGROUND AND AIMS

To prevent COVID-19 transmission, some United States (US) federal regulations on substance use disorder (SUD) treatment were suspended in March 2020. This study aimed to quantify the extent of state-level policy uptake and the potential number of people with SUD affected by these policy changes across the US, as well as to assess if policy uptake correlated with rates of people with SUD already in treatment or needing treatment.

DESIGN

Cross-sectional analysis of policies implemented as of April 13, 2020.

SETTING AND PARTICIPANTS

A total of 50 US states and the District of Columbia MEASUREMENTS: State-level implementation of: oral schedule II controlled substances emergency prescription, extended take-home doses for medication for opioid use disorders (MOUD), home-delivery of take-home medications, telemedicine for schedule II-IV prescriptions, telemedicine for buprenorphine prescribing initiation, and waiver of out-of-state Drug Enforcement Administration (DEA) registration. Rates per 100 000 population of: adults in treatment for SUD, MOUD treatment at facilities with opioid treatment programs, SUD based on Diagnostic and Statistical Manual of Mental Disorders (DSM)-IV criteria, and needing, but not receiving treatment.

FINDINGS

Half of the states (n = 24) enacted no policies, leaving ~460 955 people in treatment and 114 370 people on MOUD pre-pandemic uncovered by any policy expansion. Only telemedicine for buprenorphine initiation was marginally associated with pre-pandemic rate of SUD treatment (OR = 1.003, 95% CI = [1.001, 1.006]) and rate of MOUD therapy (OR = 1.006, 95% CI = [1.002, 1.011]) in univariable analysis, but these associations were no longer significant when controlling for state-level demographics. No policies were associated with state-wide SUD prevalence or rate of unmet treatment need (P > 0.05).

CONCLUSIONS

Twenty-four United States states did not implement at least one federal policy for substance use disorder treatment expansion as of April 2020, leaving approximately half a million people in treatment pre-pandemic potentially without access to treatment or risking exposure to COVID-19 to continue in-person therapies.

Mapping the research addressing prescription drug monitoring programs: A scoping review

ISSUES

Prescription drug monitoring programs are a harm minimisation intervention and clinical decision support tool that address the public health concern surrounding prescription drug misuse. Given the large number of studies published to date and the ongoing implementation of these programs, it is important to map the literature and identify areas for further research to improve practice.

APPROACH

A scoping review was undertaken to identify the research on prescription drug monitoring programs published between January 2015 and April 2021.

KEY FINDINGS

A total of 153 citations were included in this scoping review. The majority of the studies originated from the USA and were quantitative. Results on program effectiveness are mixed and mainly examine their association with opioid-related outcomes. Unintended consequences are revealed in the literature and this review also highlights barriers to program use.

IMPLICATIONS

Overall, findings are mixed despite the large number of studies published to date. Mapping the literature identifies priority areas for further research that can advise policymakers and clinicians on practice improvement.

CONCLUSION

Results on prescription drug monitoring program effectiveness are mixed and mainly examine their association with opioid-related outcomes. This review highlights barriers to prescription drug monitoring program effectiveness related to program use and system integration. Further research is needed in these areas to improve prescription drug monitoring program use and patient outcomes.

Opioid Use Disorder Diagnosis and Management

Opioid Use Disorder Diagnosis and ManagementThe last 20 years have seen a staggering increase in opioid-related morbidity and mortality. Although the consequences of untreated OUDs are significant, OUD is a treatable illness. This article reviews the epidemiology of OUD and its complications, screening, diagnosis, treatment, and harm reduction interventions.

Did prescribing laws disproportionately affect opioid dispensing to Black patients?

OBJECTIVE

To evaluate whether pain management clinic laws and prescription drug monitoring program (PDMP) prescriber check mandates, two state opioid policies with relatively rapid adoption across states, reduced opioid dispensing more or less in Black versus White patients.

DATA SOURCES

Pharmacy claims data, US sample of commercially insured adults, 2007-2018.

STUDY DESIGN

Stratifying by race, we used generalized estimating equations with an event-study specification to estimate time-varying effects of each policy on opioid dispensing, comparing to the four pre-policy quarters and states without the policy. Outcomes included high-dosage opioids, overlapping opioid prescriptions, concurrent opioid/benzodiazepines, opioids from >3 prescribers, opioids from >3 pharmacies.

DATA EXTRACTION METHODS

We identified all prescription opioid dispensing to Black and White adults aged 18-64 without a palliative care or cancer diagnosis code.

PRINCIPAL FINDINGS

Exactly 7,096,592 White and 1,167,310 Black individuals met inclusion criteria. Pain management clinic laws were associated with reductions in two outcomes; their association with high-dosage receipt was larger among White patients. In contrast, reductions due to PDMP mandates appeared limited to, or larger in, Black patients compared with White patients in four of five outcomes. For example, PDMP mandates reduced high-dosage receipt in Black patients by 0.7 percentage points (95% CI: 0.36-1.08 ppt.) over 4 years: an 8.4% decrease from baseline; there was no apparent effect in White patients. Similarly, while there was limited evidence that mandates reduced overlapping opioid receipt in White patients, they appeared to reduce overlapping opioid receipt in Black patients by 1.3 ppt. (95% CI: -1.66--1.01 ppt.) across post-policy years-a 14.4% decrease from baseline.

CONCLUSIONS

PDMP prescriber check mandates but not pain management clinic laws appeared to reduce opioid dispensing more in Black patients than White patients. Future research should discern the mechanisms underlying these disparities and their consequences for pain management.

Prescription Drug Monitoring and Child Maltreatment in the United States, 2004-2018

OBJECTIVE

To test whether a policy approach aimed at decreasing prescription drug misuse, specifically, state monitoring of controlled substance prescriptions-prescription drug monitoring programs (PDMPs)-were associated with changes in Child Protective Services-reported maltreatment prevalence.

STUDY DESIGN

Using a difference-in-differences design and maltreatment data (2004-2018) from 50 states and the District of Columbia, we compared the prevalence of total maltreatment incidents and total victims, in states with and without PDMPs, before and after implementation. Exploratory analyses further examined models disaggregated by maltreatment type (neglect, physical abuse, sexual abuse, psychological abuse) and among different racial/ethnic groups. Quasi-Poisson models included state-level covariates, state- and year-fixed effects, and cluster-robust standard errors.

RESULTS

Difference-in-differences models identified greater relative reductions in PDMP states relative to controls (total prevalence ratio, 0.87; 95% CI, 0.80, 0.940; victimization prevalence ratio, 0.92; 95% CI, 0.85-0.98) over the observation period. Decreases seemed to be driven by changes in neglect (prevalence ratio, 0.87; 95% CI, 0.80-0.93) and physical abuse (prevalence ratio, 0.78; 95% CI, 0.71-0.87) incidents, and may have been especially salient for American Indian/Alaskan Native children (prevalence ratio, 0.78; 95% CI, 0.65-0.94).

CONCLUSIONS

We found evidence supporting an association between prescription drug monitoring and reduced maltreatment prevalence at the state level. Policies aimed at restricting the prescribing and dispensing of controlled substances may have indirect implications for child welfare.

Has Declining Opioid Dispensing to Cancer Patients Been Tailored to Risk of Opioid Harms?

CONTEXT

Opioid prescribing to cancer patients is declining, but it is unknown whether reductions have been tailored to those at highest risk of opioid-related harms.

OBJECTIVES

Examine whether declines in opioid dispensing to patients receiving active cancer treatment are sharper in patients with substance use disorder (SUD) or mental health diagnoses.

METHODS

We used 2008-2018 national, commercial healthcare claims data to examine adjusted and unadjusted trends in opioid dispensing (receipt of ≥1 fill; average daily dosage; receipt of high-dose opioids; receipt of concurrent opioids and benzodiazepines) to patients ages ≥18 receiving treatment for one of four cancer types (breast; colorectal; head and neck; sarcoma; N = 324,789 patients). To compare declines across subgroups with varying risk of opioid-related harms, we stratified by SUD and mental health diagnosis. To address potential confounding, we estimated subgroup-specific trends using generalized estimating equations, adjusting for covariates.

RESULTS

Across groups, rate of ≥1 opioid fill per quarter fell 32.5% (95% CI: 31.8%-33.2%) from 2008 to 2018; daily dose among those receiving opioids fell 37.6% (95% CI: 36.7%-38.6%). In most cases, these declines were not sharper in subgroups at greater risk of opioid-related harms. For example, patients with opioid use disorder experienced the smallest declines in dispensing frequency, and there was no evidence that declines were sharper in patients with mental health diagnoses.

CONCLUSION

Sharp declines in opioid prescribing during the drug overdose crisis have affected a wide range of patients undergoing cancer treatment and may not have been sufficiently tailored to patient characteristics. Research on implications for opioid-related harms and pain management is needed.

Trends in opioid-related crime incidents and comparison with opioid overdose outcomes in the United States

BACKGROUND

The opioid epidemic in the United States remains a critically important public health issue and continues to worsen. While healthcare data and outcomes are commonly used to characterize the state of the epidemic and evaluate the impact of policy changes, criminal justice data is under-utilized in research despite its high relevance and unique role in the opioid crisis. Our objective is to understand temporal trends in opioid-related crime incidents and the comparability with the dynamic patterns in health-related outcomes.

METHODS

We used incident-level crime data from the National Incident-Based Reporting System (NIBRS) during 2005-2018. We identified all incidents involving opioids, which were grouped by opioid type (illicit and prescription opioids), and by drug-related criminal activity (possession and distribution). We estimated annual opioid-related crime incident rates per 100,000 residents. Joinpoint analysis was performed to examine the significant changes in the temporal trends of crime incident rates. We examined the association between opioid-related crime incidents and health outcomes using state fixed effects regression models.

RESULTS

Among the NIBRS covered population, incident rates of all opioid-related crimes increased significantly from 32.0 to 91.4 per 100,000 between 2005 and 2016, followed by a moderate decrease to 78.3 per 100,000 by 2018. The initial increase in incident rates was predominantly driven by prescription opioid-related incidents which increased by 19.6% per year from 2005 to 2010. Between 2010 and 2015, most of the increase came from illicit opioid-related incidents which accelerated to an increase of 21.6% per year. Opioid-related crime incident rates were found to be significantly and positively associated with rates of opioid-related emergency department visits, inpatient hospitalization, and overdose mortality.

CONCLUSION

Crime data describe temporal trends and shifting patterns in the opioid epidemic that are highly consistent with health-related data. Criminal justice data could be a potentially powerful tool to understand the changing landscape of opioid and substance use.

"Nobody Knows How You're Supposed to Interpret it:" End-user Perspectives on Prescription Drug Monitoring Program in Massachusetts

OBJECTIVES

America's overdose crisis spurred rapid expansion in the number and scope of prescription drug monitoring programs (PDMPs). As their public health impact remains contested, little is known about PDMP user experiences and perspectives. We explore perspectives of PDMP end-users in Massachusetts.

METHODS

Between 2016 and 2017, we conducted semi-structured qualitative interviews on overdose crisis dynamics and PDMP experiences with a purposive sample of 18 stakeholders (prescribers, pharmacists, law enforcement, and public health regulators). Recordings were transcribed and double-coded using a grounded hermeneutic approach.

RESULTS

Perspectives on prescription monitoring as an element of overdose crisis response differed across sectors, but narratives often critiqued PDMPs as poorly conceived to serve end-user needs. Respondents indicated that PDMP: (1) lacked clear orientation towards health promotion; (2) was not optimally configured or designed as a decision support tool, resulting in confusion over interpreting data to guide health care or law enforcement actions; and, (3) problematized communication and relationships between prescribers, pharmacists, and patients.

CONCLUSIONS

User insights must inform design, programmatic, and policy reform to maximize PDMP benefits while minimizing harm.

Association between fatal opioid overdose and state medical cannabis laws in US national survey data, 2000-2011

AIMS

Most information on the relationship between medical cannabis laws (MCL) and the risk for opioid overdose fatality has been based on studies with ecological designs. To contribute additional information, we used a novel case-control design and individual-level data from national surveys to assess whether state medical cannabis laws were associated with reduced risk of fatal opioid overdose between 2000-2011.

METHODS

Data from participants surveyed in the National Health Interview Survey (NHIS) between 1986-2011 were included. For those sampled between 1986-2009, detailed mortality follow-up data were available from the National Death Index up to 12/31/2011. Opioid overdose decedents (n = 791) were classified as cases. Between 2000-2011, all cases arising in a given year were matched to adult controls who were surveyed the same year and eligible for mortality follow-up (n = 723,920). The distribution of exposure to state MCL was contrasted between cases and controls, providing an approximation of the rate ratio of fatal opioid overdose associated with MCLs. Due to a NHIS sample redesign, we stratified analysis using timeframes before and after 2005.

RESULTS

Overall, compared to controls, cases were more likely to be male, middle-aged, non-Hispanic White, separated/divorced; less educated, and have a family income below the poverty threshold. No overall association between state MCLs and the rate of opioid overdose was observed between 2000-2005 (aOR = 1.22, 95% CI: 0.83-1.79) or between 2006-2011 (aOR = 0.87, 95% CI: 0.60-1.25). No significant difference between sampling timeframes was observed (ratio of aOR's = 0.71, 95% CI: 0.49-1.01).

CONCLUSIONS

We found no overall protective relationship between state MCLs and opioid overdose. Future research with more recent mortality data and more refined cannabis policy classifications would be useful. The importance of the study is two-fold. First, the findings provide an additional source of information countering claims of a protective effect of MCLs on opioid overdoses, suggesting that other solutions to the opioid overdose crisis are needed. Second, the study offers a potentially useful design to answer important population-level public health questions.

Ensemble learning to predict opioid-related overdose using statewide prescription drug monitoring program and hospital discharge data in the state of Tennessee

Objective

To develop and validate algorithms for predicting 30-day fatal and nonfatal opioid-related overdose using statewide data sources including prescription drug monitoring program data, Hospital Discharge Data System data, and Tennessee (TN) vital records. Current overdose prevention efforts in TN rely on descriptive and retrospective analyses without prognostication.

Materials and Methods

Study data included 3 041 668 TN patients with 71 479 191 controlled substance prescriptions from 2012 to 2017. Statewide data and socioeconomic indicators were used to train, ensemble, and calibrate 10 nonparametric “weak learner” models. Validation was performed using area under the receiver operating curve (AUROC), area under the precision recall curve, risk concentration, and Spiegelhalter z-test statistic.

Results

Within 30 days, 2574 fatal overdoses occurred after 4912 prescriptions (0.0069%) and 8455 nonfatal overdoses occurred after 19 460 prescriptions (0.027%). Discrimination and calibration improved after ensembling (AUROC: 0.79–0.83; Spiegelhalter P value: 0–.12). Risk concentration captured 47–52% of cases in the top quantiles of predicted probabilities.

Discussion

Partitioning and ensembling enabled all study data to be used given computational limits and helped mediate case imbalance. Predicting risk at the prescription level can aggregate risk to the patient, provider, pharmacy, county, and regional levels. Implementing these models into Tennessee Department of Health systems might enable more granular risk quantification. Prospective validation with more recent data is needed.

Conclusion

Predicting opioid-related overdose risk at statewide scales remains difficult and models like these, which required a partnership between an academic institution and state health agency to develop, may complement traditional epidemiological methods of risk identification and inform public health decisions.

Spatiotemporal Analysis of the Association Between Pain Management Clinic Laws and Opioid Prescribing and Overdose Deaths

Pain management clinic (PMC) laws were enacted by 12 states to promote appropriate opioid prescribing, but their impact is inadequately understood. We analyzed county-level opioid overdose deaths (National Vital Statistics System) and patients filling long-duration (≥30 day) or high-dose (≥90 morphine milligram equivalents per day) opioid prescriptions (IQVIA, Inc.) in the United States in 2010-2018. We fitted Besag-York-Mollié spatiotemporal models to estimate annual relative rates (RRs) of overdose and prevalence ratios (PRs) of high-risk prescribing associated with any PMC law and 3 provisions: payment restrictions, site inspections, and criminal penalties. Laws with criminal penalties were significantly associated with reduced PRs of long-duration and high-dose opioid prescriptions (adjusted PR = 0.82, 95% credible interval (CrI): 0.82, 0.82, and adjusted PR = 0.73, 95% CI: 0.73, 0.74 respectively) and reduced RRs of total and natural/semisynthetic opioid overdoses (adjusted RR = 0.86, 95% CrI: 0.80, 0.92, and adjusted RR = 0.84, and 95% CrI: 0.77, 0.92, respectively). Conversely, PMC laws were associated with increased relative rates of synthetic opioid and heroin overdose deaths, especially criminal penalties (adjusted RR = 1.83, 95% CrI: 1.59, 2.11, and adjusted RR = 2.59, 95% CrI: 2.22, 3.02, respectively). Findings suggest that laws with criminal penalties were associated with intended reductions in high-risk opioid prescribing and some opioid overdoses but raise concerns regarding unintended consequences on heroin/synthetic overdoses.

Davis C, Rudolph KE, Keyes KM, Hasin DS, Cerdá M. Prescription Opioid Laws and Opioid Dispensing in US Counties: Identifying Salient Law Provisions With Machine Learning

BACKGROUND

Hundreds of laws aimed at reducing inappropriate prescription opioid dispensing have been implemented in the United States, yet heterogeneity in provisions and their simultaneous implementation have complicated evaluation of impacts. We apply a hypothesis-generating, multistage, machine-learning approach to identify salient law provisions and combinations associated with dispensing rates to test in future research.

METHODS

Using 162 prescription opioid law provisions capturing prescription drug monitoring program (PDMP) access, reporting and administration features, pain management clinic provisions, and prescription opioid limits, we used regularization approaches and random forest models to identify laws most predictive of county-level and high-dose dispensing. We stratified analyses by overdose epidemic phases-the prescription opioid phase (2006-2009), heroin phase (2010-2012), and fentanyl phase (2013-2016)-to further explore pattern shifts over time.

RESULTS

PDMP patient data access provisions most consistently predicted high-dispensing and high-dose dispensing counties. Pain management clinic-related provisions did not generally predict dispensing measures in the prescription opioid phase but became more discriminant of high dispensing and high-dose dispensing counties over time, especially in the fentanyl period. Predictive performance across models was poor, suggesting prescription opioid laws alone do not strongly predict dispensing.

CONCLUSIONS

Our systematic analysis of 162 law provisions identified patient data access and several pain management clinic provisions as predictive of county prescription opioid dispensing patterns. Future research employing other types of study designs is needed to test these provisions' causal relationships with inappropriate dispensing and to examine potential interactions between PDMP access and pain management clinic provisions. See video abstract at, http://links.lww.com/EDE/B861.

Prescription opioid policies and associations with opioid overdose and related adverse effects

BACKGROUND

United States (US) policies to mitigate the opioid epidemic focus on reducing access to prescription opioids to prevent overdoses. We examined the impact of state policies in Vermont (July 2017) and Maine (July 2016) on opioid overdoses and opioid-related adverse effects.

METHODS

Study population included patients 15 years and older in all-payer claims of Vermont (N = 597,683; Jan.2016-Dec.2018) and Maine (N = 1,370,960; Oct.2015-Dec.2017). We used interrupted time series analyses to assess the impact of opioid prescribing policies on monthly opioid overdose rate and opioid-related adverse effects rate. We used the International Classification of Disease-10-CM to identify overdoses (T40.0 × 1-T40.4 × 4, T40.601-T40.604, T40.691-T40.694) and adverse effects (T40.0 × 5, T40.2 × 5-T40.4 × 5, T40.605, T40.695).

RESULTS

Immediately after the policy, the level of Vermont's opioid overdose rate increased by 34% (95% confidence interval, CI: 1.09, 1.65) while the level of opioid-related adverse effects rate decreased by 29% (95% CI: 0.58, 0.87). In Maine, there was no level change in opioid overdose rate, but the slope of the adverse effects rate after the policy decreased by 3.5% (95% CI: 0.94, 0.99). These results varied within age and rurality subgroups in both states.

CONCLUSION

While the decrease in rate of adverse effects following the policy changes is promising, the increase in Vermont's opioid overdose rate may suggest there is an association between policy implementation and short-term risk to public health.

Laws limiting prescribing and dispensing of opioids in the United States, 1989-2019

BACKGROUND AND AIMS

Opioid overdose is a public health emergency in the United States. In an attempt to reduce potentially inappropriate opioid prescribing, many US states have adopted legal restrictions on the ability of medical professionals to prescribe or dispense opioids for pain. This review describes the major elements of relevant US state laws and the ways in which they have changed over time.

METHODS

Systematic legal review in which two trained legal researchers collected and reviewed all US state laws that limit the amount or duration of opioids that medical professionals may prescribe or dispense for pain. These laws were then coded on a set of pre-selected measures, including when the law was enacted, dosage and duration limits imposed, circumstances in which the restrictions do not apply and whether additional requirements or restrictions apply to prescriptions issued to minors.

RESULTS

The number of US states with opioid limitation laws increased from 10 in 2016 to 39 by the end of 2019. The provisions of these laws vary between states and have shifted within states over time. At the end of 2019 the modal duration limit was 7 days, with a range of 3 to 31. Fourteen states imposed limits on the dosage of opioids that can be prescribed, ranging from 30 morphine milligram equivalents (MME) to a 120 MME daily maximum. In 16 states, different limits apply to prescriptions issued to minors.

CONCLUSIONS

The number of US states with opioid limitation laws nearly quadrupled between 2016 and 2019, with a great amount of heterogeneity between state restrictions and changes over time.

Pharmacists should treat patients who have opioid use disorders, not police them

Pharmacists are caught in the throes of a relentless overdose crisis that has already claimed half a million lives and threatens to claim thousands more. The addiction treatment system is fragmented and inadequate to meet demand. Few physicians provide medications for opioid use disorder (MOUDs), the most effective form of evidence-based treatment, and insufficient treatment options leave patients vulnerable to overdose. Pharmacists routinely interact with patients who have OUD but lack ways to treat them. The primary tools that pharmacists have received to curb the crisis are prescription drug monitoring programs (PDMPs), big data surveillance technologies that they can use to track patients' medication acquisition patterns. Pharmacists like PDMPs because they help them make decisions efficiently. However, PDMPs are enforcement technologies, not health care tools; therefore, pharmacists typically use PDMPs to police patients instead of treating them. Policing patients not only fails to help combat overdose, but can also exacerbate harm. Informed by a decade's worth of interviews with pharmacists before and after PDMP implementation, I argue that pharmacists should be better equipped to help patients with OUD. Specifically, clinical and community pharmacists should mobilize to provide MOUDs through collaborative practice agreements with physicians. Studies show that collaborative practice models are effective at reducing the risk of overdose and saving money and physicians' time. And pharmacists have the clinical competencies necessary to provide MOUDs for patients. Pharmacists must overcome legal, economic, and interprofessional barriers to do so, but giving pharmacists the tools to treat patients will affirm their professional commitment to caring for patients and saving lives.

Good Samaritan laws and overdose mortality in the United States in the fentanyl era

BACKGROUND

As of July 2018, 45 United States (US) states and the District of Columbia have enacted an overdose Good Samaritan law (GSL). These laws, which provide limited criminal immunity to individuals who request assistance during an overdose, may be of importance in the current wave of the overdose epidemic, which is driven primarily by illicit opioids including heroin and fentanyl. There are substantial differences in the structures of states' GSL laws which may impact their effectiveness. This study compared GSLs which have legal provisions protecting from arrest and laws which have more limited protections.

METHODS

Using national county-level overdose mortality data from 3109 US counties, we examined the association of enactment of GSLs with protection from arrest and GSLs with more limited protections with subsequent overdose mortality between 2013 and 2018. Since GSLs are often enacted in conjunction with Naloxone Access Laws (NAL), we examined the effect of GSLs separately and in conjunction with NAL. We conducted these analyses using hierarchical Bayesian spatiotemporal Poisson models.

RESULTS

GSLs with protections against arrest enactment in conjunction with a NAL were associated with 7% lower rates of all overdose deaths (rate ratio (RR): 0.93% Credible Interval (CI): 0.89-0.97), 10% lower rates in opioid overdose deaths (RR: 0.90; CI: 0.85-0.95) and 11% lower rates of heroin/synthetic overdose mortality (RR: 0.89; CI: 0.82-0.96) two years after enactment, compared to rates in states without these laws. Significant reductions in overdose mortality were not seen for GSLs with protections for charge or prosecution.

CONCLUSION

GSLs with more expansive legal protections combined with a NAL, were associated with lower rates of overdose deaths, although these risk reductions take time to manifest. Policy makers should consider enacting and implementing more expansive GSLs with arrest protections to increase the likelihood people will contact emergency services in the event of an overdose.

Cohort profile: development and characteristics of a retrospective cohort of individuals dispensed prescription opioids for non-cancer pain in British Columbia, Canada

PURPOSE

Prescription opioids (POs) are widely prescribed for chronic non-cancer pain but are associated with several risks and limited long-term benefit. Large, linked data sources are needed to monitor their harmful effects. We developed and characterised a retrospective cohort of people dispensed POs.

PARTICIPANTS

We used a large linked administrative database to create the Opioid Prescribing Evaluation and Research Activities cohort of individuals dispensed POs for non-cancer pain in British Columbia (BC), Canada (1996-2015). We created definitions to categorise episodes of PO use based on a review of the literature (acute, episodic, chronic), developed an algorithm for inferring clinical indication and assessed patterns of PO use across a range of characteristics.

FINDINGS TO DATE

The current cohort includes 1.1 million individuals and 3.4 million PO episodes (estimated to capture 40%-50% of PO use in BC). The majority of episodes were acute (81%), with most prescribed for dental or surgical pain. Chronic use made up 3% of episodes but 88% of morphine equivalents (MEQ). Across the acute to episodic to chronic episode gradient, there was an increasing prevalence of higher potency POs (hydromorphone, oxycodone, fentanyl, morphine), long-acting formulations and chronic pain related indications (eg, back, neck, joint pain). Average daily dose (MEQ) was similar for acute/episodic but higher for chronic episodes. Approximately 7% of the cohort had a chronic episode and chronic pain was the characteristic most strongly associated with chronic PO use. Individuals initiating a chronic episode were also more likely to have higher social/material deprivation and previous experience with a mental health condition or a problem related to alcohol or opioid use. Overall, these findings suggest our episode definitions have face validity and also provide insight into characteristics of people initiating chronic PO therapy.

FUTURE PLANS

The cohort will be refreshed every 2 years. Future analyses will explore the association between POs and adverse outcomes.

A Critical Review of the Social and Behavioral Contributions to the Overdose Epidemic

More than 750,000 people in the United States died from an overdose between 1999 and 2018; two-thirds of those deaths involved an opioid. In this review, we present trends in opioid overdose rates during this period and discuss how the proliferation of opioid prescribing to treat chronic pain, changes in the heroin and illegally manufactured opioid synthetics markets, and social factors, including deindustrialization and concentrated poverty, contributed to the rise of the overdose epidemic. We also examine how current policies implemented to address the overdose epidemic may have contributed to reducing prescription opioid overdoses but increased overdoses involving illegal opioids. Finally, we identify new directions for research to understand the causes and solutions to this critical public health problem, including research on heterogeneous policy effects across social groups, effective approaches to reduce overdoses of illegal opioids, and the role of social contexts in shaping policy implementation and impact.

Stigma and policy preference toward individuals who transition from prescription opioids to heroin

BACKGROUND

There is a lack of understanding of what contributes to attitudes toward individuals with an opioid addiction and preferences for policies that support them.

METHODS

This study aimed to investigate stigmatization of an opioid addiction and support for publicly funded drug treatment. A randomized, between-subjects case vignette study (N = 1998) was conducted with a nation-wide online survey. To assess public perceptions of stigma and support for publicly funded drug treatment, participants rated a hypothetical individual who became addicted to prescription opioids across three conditions: 1) male or female, 2) an individual who was prescribed prescription painkillers or took prescription painkillers from a friend and 3) an individual who transitioned to using heroin or who continued using prescription painkillers.

RESULTS

Our results showed that there were stronger negative attitudes towards a male (p < .01) and toward an individual who took prescription painkillers from a friend (all p's < .05), and both stronger positive and negative attitudes toward an individual who transitioned to heroin from prescription painkillers (all p's < .05). Next, we demonstrated that the probability that someone supports publicly funded drug treatment increases by 3.6 percentage points for each unit increase along a 12-point scale of positive attitudes (p < .0005), 1.3 percentage points for each unit decrease along a 12-point scale of negative attitudes (p < .005), 7.3 percentage points for each unit increase along a 6-point scale of perceived treatment efficacy (p < .0001), 0.1 percentage points for each unit decrease along a 100-point scale that measures the strength of one's belief that addiction is controllable (p < .005) and 0.2 percentage points for each unit decrease along a 100-point scale that measures the strength of one's belief that income is controllable (p < .005). Lastly, when controlling for the effects of stigma, the probability of supporting publicly funded drug treatment decreases by 6.3 percentage points (p < 0.001) when an individual was prescribed prescription painkillers from a doctor. However, path analysis identified a channel through which a doctor's prescription increased support for publicly funded drug treatment by influencing positive attitudes, negative attitudes, and responsibility.

CONCLUSION

Our findings provide further evidence that information about individuals who become addicted to opioids can influence stigma perceptions and support for publicly funded drug treatment.

Effects of Implementation and Enforcement Differences in Prescription Drug Monitoring Programs in 3 States: Connecticut, Kentucky, and Wisconsin

Background and aims:

Prescription Drug Monitoring Programs (PDMPs) were designed to curb opioid misuse and diversion by tracking scheduled medications prescribed by medical providers and dispensed by pharmacies. The effects of PDMPs on opioid prescription, misuse and overdose rates have been mixed due in part to variability in states’ PDMPs and difficulties measuring this complexity, and a lack of attention to implementation and enforcement of PDMP components. The current study uses qualitative interviews with key informants from 3 states with different PDMPs, Connecticut, Kentucky and Wisconsin to explore differences in the characteristics of the PDMPs in each state; how they are implemented, monitored and enforced; and unintended negative consequences of these programs.

Methods:

We conducted in-depth interviews with key informants from each state representing the following sectors: PDMP and pain clinic regulation agencies, Medicaid programs, state licensing boards, pharmacies, emergency medicine departments, pain management clinics, first responders, drug courts, drug treatment programs, medication assisted treatment (MAT) providers, and harm reduction organizations. Interview guides explored participants’ experiences with and opinions of PDMPs according to their roles. Data analysis was conducted using a collaborative, constant comparison method.

Results:

While all 3 states had mandated registration and reporting requirements, the states differed in the implementation and enforcement of these and the extent to which provider prescribing was monitored. These, in turn, influenced how medical providers perceived the PDMP and changed how providers prescribed opioids. Unintended consequences of state PDMPs included under-prescribing for pain and “dumping” patients who were long term users of opioids or who had developed opioid use disorders and may explain the increase in illicit heroin or opioid use.

Conclusion:

State PDMPs with similar mandates may differ greatly in implementation and enforcement. These differences are important to consider when determining the effects of PDMPs on opioid misuse and overdose.

Systematic review of the emerging literature on the effectiveness of naloxone access laws in the United States

BACKGROUND AND AIMS

Naloxone access laws (NALs) have been suggested to be an important strategy to reduce opioid-related harm. We describe the evolution of NALs across states and over time and review existing evidence of their overall association with naloxone distribution and opioid overdose as well as the potential effects of specific NAL components.

METHODS

Descriptive analysis of temporal variation in US regional adoption of NAL components, accompanied by a systematic search of 13 databases for studies (published between 2005 and 20 December 2019) assessing the effects of NALs on naloxone distribution or opioid-related health outcomes. Eleven studies, all published since 2018, met inclusion criteria. Study time-frames spanned 1999-2017. Opioid-related overdose mortality, emergency department episodes and naloxone distribution were correlated with the presence of a NAL and, where data were available, NAL components.

RESULTS

Existing evidence suggests mixed, but generally beneficial, effects for NALs. Nearly all studies show that NALs, particularly those that permit naloxone distribution without patient-specific prescriptions, are associated with increased naloxone access [incidence rate ratios (IRR) range from 1.40, 95% confidence interval (CI) = 1.15-1.66 to 7.75, 95% CI = 1.22-49.35] and increased opioid-related emergency department visits (IRR range from 1.14, 95% CI = 1.07-1.20 to 1.15, 95% CI = 1.02-1.29). Most studies show NALs are associated with reduced overdose mortality, although findings vary depending on the specific NAL components and time-period analyzed (IRR range from 0.66, 95% CI = 0.42-0.90 to 1.27, 95% CI = 1.27-1.27). Few studies account for the variation in opioid environments (i.e. illicit versus prescription) or other policy dimensions that may be correlated with outcomes.

CONCLUSIONS

The existing literature on naloxone access laws in the United States supports beneficial effects for increased naloxone distribution, but provides inconclusive evidence for reduced fatal opioid overdose. Mixed findings may reflect variation in the laws' design and implementation, confounding effects of concurrent policy adoption, or differential effectiveness in light of changing opioid environments.

The Opioid/Overdose Crisis as a Dialectics of Pain, Despair, and One-Sided Struggle

The opioid/overdose crisis in the United States and Canada has claimed hundreds of thousands of lives and has become a major field for research and interventions. It has embroiled pharmaceutical companies in lawsuits and possible bankruptcy filings. Effective interventions and policies toward this and future drug-related outbreaks may be improved by understanding the sociostructural roots of this outbreak. Much of the literature on roots of the opioid/overdose outbreak focuses on (1) the actions of pharmaceutical companies in inappropriately promoting the use of prescription opioids; (2) "deaths of despair" based on the deindustrialization of much of rural and urban Canada and the United States, and on the related marginalization and demoralization of those facing lifetimes of joblessness or precarious employment in poorly paid, often dangerous work; and (3) increase in occupationally-induced pain and injuries in the population. All three of these roots of the crisis-pharmaceutical misconduct and unethical marketing practices, despair based on deindustrialization and increased occupational pain-can be traced back, in part, to what has been called the "one-sided class war" that became prominent in the 1970s, became institutionalized as neo-liberalism in and since the 1980s, and may now be beginning to be challenged. We describe this one-sided class war, and how processes it sparked enabled pharmaceutical corporations in their misconduct, nurtured individualistic ideologies that fed into despair and drug use, weakened institutions that created social support in communities, and reduced barriers against injuries and other occupational pain at workplaces by reducing unionization, weakening surviving unions, and weakening the enforcement of rules about workplace safety and health. We then briefly discuss the implications of this analysis for programs and policies to mitigate or reverse the opioid/overdose outbreak.

Drug-related deaths in a population-level cohort of people living with and without hepatitis C virus in British Columbia, Canada

BACKGROUND

The majority of new HCV infections in Canada occur in people who inject drugs. Thus, while curative direct antiviral agents (DAAs) herald a promising new era in hepatitis C virus (HCV) treatment, improving the lives and wellbeing of people living with HCV (PLHCV) must be considered in the context of reducing overdose-related harms and with a syndemic lens. We measure drug-related deaths (DRDs) among HCV-negative people and PLHCV in British Columbia (BC), Canada, and the impact of potent contaminants like fentanyl on deaths.

METHODS

We identified DRDs among PLHCV and HCV-negative individuals from 2010 to 2018 in the BC Hepatitis Testers Cohort, a population-based dataset of ~1.7 million British Columbians comprising comprehensive administrative and clinical data. We estimated annual standardized liver- and drug-related mortality rates per 100,000 person-years (PY) and described the contribution of specific drugs, including fentanyl and its analogues, implicated in DRDs over time.

RESULTS

DRDs constituted 20.1% of deaths among PLHCV and 4.7% of deaths among HCV-negative individuals; a 4.3-fold (95% confidence interval: 4.0-4.5) difference. Drug-related mortality overtook liver-related mortality for PLHCV in 2015 and HCV-negative individuals in 2016 and rose from 241.7 to 436.5 per 100,000 PY from 2010 to 2018 amongPLHCV and from 20.0 to 57.1 per 100,000 PY for HCV-negative individuals over the same period. The proportion of deaths attributable to drugs among PLHCV and HCV-negative individuals increased from 15.1% to 26.1% and 3.1% to 8.0%, in 2010 and 2018, respectively. The proportion of DRDs attributed solely to synthetic opioids such as fentanyl averaged across both groups increased from 2.1% in 2010 to 69.6% in 2017.

CONCLUSION

Steep drug-related mortality increases among PLHCV and HCV-negative individuals over the last decade highlight the urgent need to address overdose-related drivers and harms in these populations using an integrated care approach.

Situating the Continuum of Overdose Risk in the Social Determinants of Health: A New Conceptual Framework

Policy Points This article reconceptualizes our understanding of the opioid epidemic and proposes six strategies that address the epidemic's social roots. In order to successfully reduce drug-related mortality over the long term, policymakers and public health leaders should develop partnerships with people who use drugs, incorporate harm reduction interventions, and reverse decades of drug criminalization policies.

CONTEXT

Drug overdose is the leading cause of injury-related death in the United States. Synthetic opioids, predominantly illicit fentanyl and its analogs, surpassed prescription opioids and heroin in associated mortality rates in 2016. Unfortunately, interventions fail to fully address the current wave of the opioid epidemic and often omit the voices of people with lived experiences regarding drug use. Every overdose death is a culmination of a long series of policy failures and lost opportunities for harm reduction.

METHODS

In this article, we conducted a scoping review of the opioid literature to propose a novel framework designed to foreground social determinants more directly into our understanding of this national emergency. The "continuum of overdose risk" framework is our synthesis of the global evidence base and is grounded in contemporary theories, models, and policies that have been successfully applied both domestically and internationally.

FINDINGS

De-escalating overdose risk in the long term will require scaling up innovative and comprehensive solutions that have been designed through partnerships with people who use drugs and are rooted in harm reduction.

CONCLUSIONS

Without recognizing the full drug-use continuum and the role of social determinants, the current responses to drug overdose will continue to aggravate the problem they are trying to solve.

Recent changes in trends of opioid overdose deaths in North America

Background

As several regulatory and environmental changes have occurred in North America, trends in overdose deaths were examined in the United States (US), Ontario and British Columbia (BC), including changes in consumption levels of prescription opioids (PO) and overdose deaths, changes in correlations between consumption levels of PO and overdose deaths and modeled differences between observed and predicted overdose deaths if no changes had occurred.

Methods

Consumption levels of PO included defined daily doses for statistical purposes per million inhabitants per day for the US and Canada (2001–2015). Overdose deaths included opioid overdose deaths for the US (2001–2017) and Ontario (2003–2017) and illicit drug overdose deaths for BC (2001–2017). The analytic techniques included structural break point analyses, Pearson product-moment correlations and multivariate Gaussian state space modeling.

Results

Consumption levels of PO changed in the US in 2010 and in Canada in 2012. Overdose deaths changed in the US in 2014 and in Ontario and BC in 2015. Prior to the observed changes in consumption levels of PO, there were positive correlations between consumption levels of PO and overdose deaths in the US (r = 0.99, p < 0.001) and Ontario (r = 0.92, p = 0.003). After the observed changes in consumption levels of PO, there was a negative correlation between consumption levels of PO and overdose deaths in the US (r = − 0.99, p = 0.002). Observed overdose deaths exceeded predicted overdose deaths by 5.7 (95% Confidence Interval [CI]: 4.8–6.6), 3.5 (95% CI: 3.2–3.8) and 21.8 (95% CI: 18.6–24.9) deaths per 100,000 people in the US, Ontario and BC, respectively in 2017. These excess deaths corresponded to 37.7% (95% CI: 31.9–43.6), 39.2% (95% CI: 36.3–42.1) and 72.2% (95% CI: 61.8–82.6) of observed overdose deaths in the US, Ontario and BC, respectively in 2017.

Conclusions

The opioid crisis has evolved in North America, as a sizeable proportion of overdose deaths are now attributable to the several regulatory and environmental changes. These findings necessitate substance use policies to be conceptualized more broadly as well as the continued expansion of harm reduction services and types of pharmacotherapy interventions.