The Effects of Kentucky's Comprehensive Opioid Legislation on Patients Presenting with Prescription Opioid or Heroin Abuse to One Urban Emergency Department

Cross-sectional study of rapid tapering of opioid prescriptions following medical regulatory intervention in Alberta from 2013 to 2020

OBJECTIVE

To determine if inappropriate tapering/discontinuation of opioids to Alberta patients occurred from mid-2013-2020, as unintended consequences of prescribing guidelines, regulations and policies in response to the North American opioid crisis.

DESIGN

A population-based, repeated cross-sectional time-series study.

SETTING

Alberta, Canada.

PARTICIPANTS

Residents of Alberta, Canada aged 18 and older who received an opioid dispense from a community pharmacy from 2013 to 2020.

MAIN OUTCOME MEASURES

The prevalence of potential rapid tapering was measured at a given date (reference day), enveloped by a data window. Dose changes were measured as oral morphine equivalents (OME) per patient, at multiple time points ('data window' around a reference day). Chronic recipients were identified, and their prescriptions were contrasted 90 days before and after the reference day to measure OME/day changes.

RESULTS

Approximately 9000 dispenses (totalling ~6 million OME) per day were analysed from 2013 to 2020. The total number of opioid recipients was highly cyclic in nature (peaking in winter). The number of chronic opioid recipients remained somewhat stable from ~70K in 2013 to ~86K at the end of 2020. The number of chronic high and very high dose recipients presented a significant decrease after 2017. Approximately 11%-12% of chronic high-dose recipients experienced potential rapid dose tapering at a rate of 50% or more prereference to postreference day at any given point of time. For chronic very high dose recipients, approximately 11.5% experience potential rapid dose tapering at a rate of 50% or more prereference to postreference day at any given point of time. Potential discontinuation remained constant and the interventions did not have a significant impact on the trend.

CONCLUSION

The evidence suggests that changes in prescribing guidelines were not associated with an increase of rapid opioid tapering/discontinuation in Alberta.

Mandatory prescription drug monitoring programs and overlapping prescriptions of opioids and benzodiazepines: Evidence from Kentucky

BACKGROUND

In response to the opioid epidemic, many states implemented mandates requiring providers to check prescription drug monitoring programs (PDMPs) before prescribing opioids. We examine how overlapping benzodiazepine and opioid prescriptions changed after Kentucky implemented a PDMP mandate in July 2012.

METHODS

We conducted an interrupted time series analysis using monthly data from Kentucky's PDMP from 2010 to 2016. Separate analyses were conducted for overlapping prescriptions from a single provider or multiple providers, and by sex and age group. We also conducted an individual-level longitudinal analysis that compared changes in utilization patterns after the mandate went into effect to changes in earlier periods during which the mandate was not in effect.

RESULTS

Kentucky's PDMP mandate was associated with an immediate 7.5 % decline in the rate of overlapping benzodiazepine and opioid prescriptions and a significant change in the trend from increasing to decreasing. Approximately half of the immediate effect in level terms was explained by decreases in overlapping prescriptions written by a single provider. Our longitudinal analysis suggests that over one year the mandate reduced initiation of overlapping prescriptions by 29.3 % and reduced continuation of overlapping prescriptions by 9.4 %. The effects of the policy were largest for women and men aged 36-50.

CONCLUSIONS

Though not the main rationale for the policy, Kentucky's PDMP mandate reduced overlapping prescriptions of benzodiazepines and opioids. Further efforts to reduce overlapping prescriptions should consider the effects on populations such as women over 50, who have high rates of overlapping prescriptions.

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.

Prescription History Before Opioid Overdose Death: PDMP Data and Responsible Prescribing

INTRODUCTION

As the opioid epidemic continues, state legislatures and clinicians increasingly utilize Prescription Drug Monitoring Programs (PDMPs). These programs record dates prescribed and filled for all controlled substances, attempting to identify high-risk prescribing. The aims of this study were to (i) examine data from individuals who died of accidental opioid overdose and (ii) compare differences between those with prescriptions documented in Kentucky's PDMP with individuals without recorded prescriptions.

METHODS

This was a retrospective, observational cohort study conducted in Jefferson County, Kentucky. We reviewed records for all opioid overdose death subjects from 2017 and 2018, cross-referencing with prescriptions in Kentucky's PDMP (Kentucky All Schedule Prescription Electronic Reporting System [KASPER]) back to 2014. We performed χ2 analyses for categorical variable comparisons and a separate univariate analysis for age.

RESULTS

Of the 575 individuals who died of accidental opioid overdose in Jefferson County during the study period, 379 (65.9%) had prescriptions documented in KASPER. Individuals had a high prevalence of fentanyl on postmortem toxicology. Only one individual had postmortem toxicology positive for buprenorphine, a medication for opioid use disorder (MOUD). Several subjects experienced what we termed see-saw MOUD prescribing (prescriptions alternating between MOUD and other controlled substances including full agonists), and multiple prescriptions were apparently written and/or filled for deceased subjects.

CONCLUSIONS

Review of PDMP data in deceased patients can prevent unnecessary opioid prescribing and optimize clinical practice. Buprenorphine may have a protective effect in opioid dependence, but access must be consistent. Providers should be aware of see-saw MOUD prescribing and understand the effects on patient care. In response to the prescriptions filled for deceased individuals, legislators could enact a policy such as Void All Prescriptions or VAP alerts to cancel all prescriptions for individuals who have died, reducing drug diversion. It is vital that providers routinely use PDMP data along with counseling and other treatment strategies to optimize patient care.

Adaptation of a standard extended-release naltrexone (XR-NTX) protocol for rural re-entering offenders with OUD

BACKGROUND

Despite a growing body of empirical support for the effectiveness of extended-release naltrexone (XR-NTX) to reduce opioid relapse among people with opioid use disorder (OUD) transitioning from a correctional facility to the community, continuity of care following release remains challenging. This paper describes a research-based adaptation of a state's standard of care XR-NTX protocol using the ADAPT-ITT framework for delivery in a non-traditional, non-treatment, community criminal justice setting (P&P office), as well as the expansion of services by a local Federally Qualified Health Center (FQHC) provider who would, for the first time, be going to the jail and P&P office to provide XR-NTX and related treatment.

METHOD

The present study focuses on the first seven phases (Assessment through Training) of the ADAPT-ITT framework in the adaptation of the Department of Corrections (DOC) protocol in preparation for a pilot trial for induction in a rural jail and during the transition to a rural community. Expert clinical review and focus groups with key stakeholders in criminal justice supervision and the local providers in the FQHC informed the needed adaptations to the existing XR-NTX protocol for initiation at the jail and ongoing administrations in the community.

RESULTS

Findings from stakeholder focus groups, study team review, topical expert review, and a theater test suggested that there were critical adaptations needed in both content and context at the patient and clinic level.

CONCLUSION

Health and justice officials should consider the need to tailor and adapt evidence-based approaches for real-world locations that high-risk, justice-involved individuals visit in order to reduce barriers and increase access to critically needed treatment for OUD.

Transitioning from pharmaceutical opioids: A discrete-time survival analysis of heroin initiation in suburban/exurban communities

INTRODUCTION

Research identifying pathways to heroin use has typically been conducted among urban populations. This study examined heroin initiation following pharmaceutical opioid use in three suburban/exurban Southern California counties.

METHODS

Interviewer-administered surveys collected data among 330 participants (65.9 % male; 63.9 % non-Hispanic white) whose initial use of any opioid was a pharmaceutical opioid. Retrospective discrete-time survival analysis identified predictors of heroin initiation, measured as self-reported age of first heroin use.

RESULTS

Median age of first pharmaceutical opioid use was 17 years; 50.6 % initially acquired pharmaceutical opioids from an illicit source, 56.7 % first used pharmaceutical opioids for recreational purposes, and 86 % initiated heroin use. Average time from first pharmaceutical opioid use to first heroin use was 8.2 years. Drug/alcohol treatment (adjusted Hazard Ratio [aHR]: 0.67, 95 % CI: 0.50, 0.88) was associated with delayed time to heroin initiation. Obtaining opioids from non-medical sources (aHR: 2.21, 95 % CI: 1.55, 3.14) was associated with accelerated time to heroin initiation. Reporting supply problems with obtaining pharmaceutical opioids (e.g., unable to acquire pharmaceutical opioids) was associated with accelerated time to heroin initiation, but the magnitude of this effect was dependent on one's history of methamphetamine use (p < 0.05).

CONCLUSIONS

Time to heroin initiation following pharmaceutical opioid use was accelerated among those reporting supply problems and delayed among those with exposure to substance use treatment. Interventions interrupting supply of opioids might benefit from coordination with evidence-based medication-assisted treatment to minimize the risk of transitioning to heroin use, particularly among those with a long history of non-prescribed pharmaceutical opioid use.

Risk factors for heroin use following release from jail or prison in adults in a Central Appalachian state between 2012-2017

Background

Corrections-involved adults with a history of opioid use disorder are at elevated risk of opioid overdose following release from correctional settings. Increased opioid prescribing restrictions and monitoring during a time when heroin is becoming cheaper and ubiquitous means that adults who misused prescription opioids prior to incarceration may be reentering communities at greater risk for heroin exposure and use.

Objectives

Determine risk factors of post-release heroin use among a sample of adults who participated in corrections-based drug treatment in Kentucky released between 2012 and 2017.

Methods

Survey data obtained as part of an ongoing evaluation of corrections-based drug treatment were examined.

Results

The final sample (N = 1,563) was majority male (80.9%). Nearly 11.0% reported past-year heroin use following their release. Depressive symptoms, polydrug use, and urban proximity were more common among participants reporting post-release heroin use. Heroin use 30 days prior to incarceration was associated with a 432.1% increase in odds of heroin use subsequent to incarceration. Post-release suicidal ideation increased odds of heroin use by 154.2%, whereas reporting satisfaction from social interactions decreased odds of use by nearly 60%. Post-release use of cocaine and diverted buprenorphine were associated with increased likelihood of heroin use during this time period, increasing odds by 469.1% and 265.9%, respectively. Residing in Central Appalachia subsequent to incarceration was associated with decreased likelihood of use.

Conclusions

In this sample, post-release heroin use was associated with concerning features, such as polydrug use, lack of social satisfaction, and suicidal ideation. These features can serve as clear targets for clinical intervention.

Characterization of diverted buprenorphine use among adults entering corrections-based drug treatment in Kentucky

BACKGROUND

Illicit, medically unsupervised use of buprenorphine (i.e., "diverted use") among vulnerable and underserved populations, such as corrections-involved adults, remains underexplored.

METHODS

Survey data (2016-2017) collected as part of a clinical assessment of incarcerated adults entering corrections-based substance use treatment in Kentucky were analyzed. For years examined, 12,915 completed the survey. Removing cases for participants who did not reside in Kentucky for >6 months during the one-year pre-incarceration period (n = 908) resulted in a final sample size of 12,007.

RESULTS

Over a quarter of the sample reported past-year diverted buprenorphine use prior to incarceration and 21.8 % reported use during the 30-days prior to incarceration, using 6.5 months and 14.3 days on average, respectively. A greater proportion of participants who reported diverted buprenorphine use had previously been engaged with some substance use treatment (77.0 %) and reported greater perceived need for treatment (79.4 %) compared to those who did not report use. Use was more likely among participants who were younger, white, male, and who reported rural or Appalachian residence. Diverted buprenorphine users also evidenced extensive polydrug use and presented with greater substance use disorder severity. Non-medical prescription opioid, heroin, and diverted methadone use were associated with increased odds of diverted buprenorphine use while kratom was not. Diverted methadone use was associated with a 252.9 % increased likelihood of diverted buprenorphine use.

CONCLUSIONS

Diverted buprenorphine use among participants in this sample was associated with concerning high-risk behaviors and may indicate barriers to accessing opioid agonist therapies for corrections-involved Kentucky residents, particularly those in rural Appalachia.

Prescription opioid misuse among adolescents and emerging adults in the United States: A scoping review

The U.S. opioid epidemic is a critical public health problem. As substance use and misuse typically begin in adolescence and emerging adulthood, there is a critical need for prevention efforts for this key developmental period to disrupt opioid misuse trajectories, reducing morbidity and mortality [e.g., overdose, development of opioid use disorders (OUD)]. This article describes the current state of research focusing on prescription opioid misuse (POM) among adolescents and emerging adults (A/EAs) in the U.S. Given the rapidly changing nature of the opioid epidemic, we applied PRISMA Scoping Review (PRISMA-ScR) guidelines to identify empirical articles published in the past 5 years (January 2013-September 2018) from nine databases examining POM among A/EAs (ages 10-25) in the U.S. Seventy-six articles met our inclusion criteria focusing on POM in the following areas: cross-sectional surveys (n = 60), longitudinal cohort studies (n = 5), objective, non-self-reported data sources (n = 9), and interventions (n = 2). Final charted data elements were organized by methodology and sample, with results tables describing design, sample, interventions (where applicable), outcomes, and limitations. Most studies focused on the epidemiology of POM and risk/protective factors, including demographic (e.g., sex, race), individual (e.g., substance use, mental health), and social (e.g., peer substance use) factors. Despite annual national surveys conducted, longitudinal studies examining markers of initiation and escalation of prescription opioid misuse (e.g., repeated overdoses, time to misuse) are lacking. Importantly, few evidence-based prevention or early intervention programs were identified. Future research should examine longitudinal trajectories of POM, as well as adaptation and implementation of promising prevention approaches.

The effect of an opioid prescription days' supply limit on patients receiving long-term opioid treatment

BACKGROUND

Since 2016, an increasing number of states have passed laws restricting the days' supply for opioid prescriptions, yet little is known about how these laws affect patients. This study evaluates the effect of the Tennessee Prescription Regulatory Act, which was implemented on Oct. 1st, 2013 and restricted the maximum days' supply that could be dispensed for any opioid prescription by any prescriber to 30 days, on patients receiving long-term opioid treatment.

METHODS

A quasi experimental model, an interrupted time series (ITS), was used with observational data to estimate the effect of the policy on monthly patient opioid prescription outcomes. Data for this study came from the Tennessee Controlled Substance Monitoring Database between October 1st, 2012 and October 31st, 2014. The study population included patients receiving long-term opioid treatment who filled an opioid prescription in at least 4 months in the 12-month pre-policy period and received at least one prescription in the pre-policy period with a days' supply exceeding 30 days. Three outcomes were measured each month for every patient based on their opioid prescriptions: per-prescription days' supply per-prescription, daily morphine milligram equivalent (DMME), and total opioid prescriptions. All models controlled for individual fixed effects, age, and benzodiazepine prescriptions and utilized cluster robust standard errors to address serial correlation.

RESULTS

The change in law was associated with a decline in the average days' supply by -5.30 days (95% CI: -5.64, -4.96), and number of prescriptions by -1.3% (95% CI: -3%, -0.07%), but an increase in the average DMME by 1.41 (95% CI: 0.37, 2.45).

CONCLUSIONS

Prescribers responded to the Addison Sharp Prescription Regulatory Act by significantly decreasing the days' supply in opioid prescriptions among current patients receiving long-term opioid treatment who had at least one prescription exceeding the maximum days' supply set by the law in the pre-policy period.

Do prescription drug monitoring programs encourage prescription - or illicit - opioid abuse?

BACKGROUND

Prescription drug monitoring programs (PDMPs) are tools that states can use to fight prescription opioid misuse within their jurisdiction. However, because PDMPs make prescription opioids more difficult to access, these programs may have the unintended consequence of increasing deaths related to illicit opioids. Methods: This study uses fixed effects models to estimate how PDMP regulatory strength is associated with both prescription opioid- and heroin-related deaths between 1999 and 2016. PDMP regulatory strength is measured by creating a score using multiple correspondence analysis (MCA). Additional models replace the MCA score with a binary indicator for the presence of one particular regulation requiring physicians to access the system before writing opioid prescriptions. Results: Results show that continuous measures of PDMP strength are not generally associated with prescription opioid- or heroin-related death rates. Yet, one model does show that PDMP scores are positively associated with the heroin-related death rate. The models using the binary mandatory access variable show a strong positive association with both prescription opioid and heroin deaths. Conclusions: This study supports the theory that more stringent state PDMPs are associated with higher rates of heroin-related deaths, potentially due to decreases in prescription opioid availability.

Non-Prescribed Buprenorphine Use Mediates the Relationship between Heroin Use and Kratom Use among a Sample of Polysubstance Users

In Asia, Mitragyna speciosa (e.g., "kratom") has been used to mitigate alcohol and drug dependence. Some preliminary findings suggest kratom's potential use as an informal harm-reduction method in the United States, such as an opioid substitute or as a means of lessening opioid withdrawal symptoms. To determine correlates of past-year kratom use among a sample of polysubstance users enrolled in residential recovery programs in Kentucky, an anonymous survey was completed by clients in April 2017. Logistic regression was used to identify significant associations with past-year kratom use. Of the final sample (N = 478), 10.4% reported past-year kratom use. Past-year heroin use, but not past-year prescription opioid (e.g., oxycodone, hydrocodone) use, was significantly associated with kratom use, such that individuals who reported past-year heroin use were 2.5 times more likely to also report past-year kratom use. Non-prescribed buprenorphine (i.e., Suboxone) use partially mediated the relationship between past-year heroin and kratom use by explaining 36% of the association between the two drugs. Though amphetamines were highly preferred, past-year use was negatively correlated with past-year kratom use. Rates of past-year kratom use were lower than rates of alcohol and illicit drug use. Kratom was not preferred over heroin or prescription opioids.

The utility of a statewide prescription drug-monitoring database vs the Current Opioid Misuse Measure for identifying drug-aberrant behaviors in emergency department patients already on opioids

BACKGROUND

The most recent guidelines on prescribing opioids from the United States Centers for Disease Control recommend that clinicians not prescribe opioids as first-line therapy for chronic non-cancer pain. If an opioid prescription is considered for a patient already on opioids, prescribers are encouraged to check the statewide prescription drug monitoring database (PDMP). Some additional guidelines recommend screening tools such as the Current Opioid Misuse Measure (COMM) which may also help identify drug-aberrant behaviors.

OBJECTIVE

To compare the PDMP and the Current Opioid Misuse Measure (COMM), a commonly-recommended screening tool for patients on opioids, in detecting drug-aberrant behaviors in patients already taking opioids at the time of ED presentation.

METHODS

Patients on opioids were enrolled prospectively in a mixed urban-suburban ED seeing approximately 65,000 patients per year. The sensitivity, specificity, likelihood ratios, and diagnostic odds ratios of the PDMP and COMM were compared against objective criteria of drug-aberrant behaviors as documented in the electronic medical record (EMR) and medical examiner databases.

RESULTS

Compared to the COMM, the PDMP had similar sensitivity (36% vs 45%) and similar specificity (79% vs 55%), but better positive predictive value, better negative predictive value, and better diagnostic odds ratio. The combination of the PDMP and the COMM did not improve the detection of drug-aberrant behaviors.

CONCLUSIONS

The PDMP alone is a more useful as a screening instrument than either the COMM or the combination of the PDMP plus COMM in patients already taking opioids at time of ED presentation. However, the PDMP misses a majority of patients with documented drug-aberrant behaviors in the EMR, and should not be used in isolation to justify whether a particular opioid prescription is appropriate.