High-dose prescribed opioids are associated with increased risk of heroin use among United States military veterans

A within-subject, double-blind, placebo-controlled randomized evaluation of the combined effects of cannabidiol and hydromorphone in a human laboratory pain model

ABSTRACT

Preclinical and epidemiological evidence supports that cannabinoids may have opioid-sparing properties and could be one strategy to decrease opioid use and associated harms like overdose and extramedical use. The objective of this within subjects, double-blind, double-dummy, randomized human laboratory trial was to examine whether cannabidiol (CBD) increases opioid analgesic effects and whether there are corresponding increases in other opioid mediated effects. Healthy participants (N = 31) attended 5 outpatient sessions where they received the following drug conditions: (1) placebo + placebo, (2) 4 mg hydromorphone + placebo, (3) 4 mg hydromorphone + 50 mg CBD, (4) 4 mg hydromorphone + 100 mg CBD, and (5) 4 mg hydromorphone + 200 mg CBD. Before and at multiple time points after drug administration, participants completed (1) quantitative sensory testing, which induced and assessed acute and chronic laboratory models of pain; (2) standard assessments, which queried acute subjective drug effects; and (3) tasks, which assessed psychomotor performance. When combined with a dose of hydromorphone that did not reliably produce analgesic effects on its own, CBD increased the analgesic effects for some laboratory acute pain outcomes but none of the laboratory chronic pain outcomes. At the highest dose of CBD (200 mg), there were concurrent increases in self-report Bad Effects and adverse effects that were not observed at lower doses of CBD (50 mg). Cannabidiol mitigated psychomotor impairment observed with hydromorphone alone. These findings suggest that lower doses of CBD (50 mg) may have utility for enhancing acute analgesic properties of opioids without having corresponding increases in bad effects.

The Effect of Concurrent Use of Opioids and Gabapentin on Fall Risk in Older Adults

Falls pose a significant threat to older adults, resulting in injuries and mortality. Concurrently prescribed opioids and gabapentin for pain management may increase fall risks in older patients. This study aimed to estimate fall risks associated with the concurrent use of gabapentin and opioids, comparing them to opioid monotherapy in older adults. A retrospective case-control study of 1,813 patients aged 65-89 on chronic opioid therapy (2017-2020), excluding those with a fall history, analysis focused on the first fall occurrence. Logistic regression assessed the association between concurrent gabapentin and opioid use and fall events. Out of eligible patients, 122 (6.73%) experienced falls during opioid therapy, with 232 (12.80%) having concurrent gabapentin use. Concurrent use significantly increased fall risk (AOR = 1.73; 95% CI: 1.08-2.78). Being female, aged ≥81, and having more chronic conditions also increased risk. Mitigating fall risk in older adults requires education on prevention, exploring alternative pain management, and careful consideration of prescribing. Further research is crucial to understand adverse events linked to combined opioid and gabapentin use in the geriatric population.

A genome-wide Association study of the Count of Codeine prescriptions

Opioid prescription records in existing electronic health record (EHR) databases are a potentially useful, high-fidelity data source for opioid use-related risk phenotyping in genetic analyses. Prescriptions for codeine derived from EHR records were used as targeting traits by screening 16 million patient-level medication records. Genome-wide association analyses were then conducted to identify genomic loci and candidate genes associated with different count patterns of codeine prescriptions. Both low- and high-prescription counts were captured by developing 8 types of phenotypes with selected ranges of prescription numbers to reflect potentially different levels of opioid risk severity. We identified one significant locus associated with low-count codeine prescriptions (1, 2 or 3 prescriptions), while up to 7 loci were identified for higher counts (≥ 4, ≥ 5, ≥6, or ≥ 7 prescriptions), with a strong overlap across different thresholds. We identified 9 significant genomic loci with all-count phenotype. Further, using the polygenic risk approach, we identified a significant correlation (Tau = 0.67, p = 0.01) between an externally derived polygenic risk score for opioid use disorder and numbers of codeine prescriptions. As a proof-of-concept study, our research provides a novel and generalizable phenotyping pipeline for the genomic study of opioid-related risk traits.

Trajectories of Opioid Misuse and Opioid Use Disorder Among Adults With Chronic Pain and HIV: An Observational Study

OBJECTIVES

In a longitudinal cohort of patients with HIV and chronic pain, we sought to (1) identify trajectories of opioid misuse and opioid use disorder (OUD) symptoms, and to (2) determine whether prescription opioid dose was associated with symptom trajectories.

METHODS

We leveraged an existing 12-month longitudinal observational study, Project PIMENTO, of persons living with HIV and chronic pain who received care at a hospital system in the Bronx, New York. A quota sampling strategy was used to ensure variability of prescribed opioid use in the recruited sample. Research interviews occurred quarterly and assessed opioid behaviors and criteria for OUD. To describe symptom trajectories, we conducted 2 separate longitudinal latent class analyses to group participants into (1) opioid misuse and (2) OUD trajectories. Finally, we used multinomial logistic regression models to examine the relationship between baseline prescription opioid dose and symptom trajectories.

RESULTS

Of 148 total participants, at baseline 63 (42.6%) had an active opioid prescription, 69 (46.6%) met the criteria for current opioid misuse, and 44 (29.7%) met the criteria for current OUD. We found 3 opioid misuse and 3 OUD symptom trajectories, none of which showed worsened symptoms over time. In addition, we found that higher prescription opioid dose at baseline was associated with a greater OUD symptom trajectory.

CONCLUSIONS

Opioid misuse and OUD were common but stable or decreasing over time. Although these results are reassuring, our findings also support prior studies that high-dose opioid therapy is associated with greater OUD symptoms.

Medication Use Evaluation of High-Dose Long-Term Opioid De-prescribing in Multiple Veterans Affairs Medical Centers

BACKGROUND

The Opioid Safety Initiative (OSI) was implemented in 2013 to enhance the safe and appropriate use of opioids in the Veterans Health Administration (VA). Opioid use decreased nationally in subsequent years, but characterization of opioid de-prescribing practices has not been well established.

OBJECTIVES

To describe changes in patient characteristics and patterns of de-prescribing since OSI implementation for opioid users at > 90 morphine equivalent daily dose for at least 90 days for those that discontinued opioids within the VA.

DESIGN

Retrospective observational pre-post intervention medication use evaluation using VA data and electronic health records to identify differences in opioid de-prescribing between fiscal year 2013 (FY13; early OSI) and FY17 (late OSI). Reviewers' insights for local opioid management and de-prescribing practices collected through web-based post-data collection survey.

PARTICIPANTS

Veterans prescribed high-dose long-term opioid therapy in FY13 and FY17 who subsequently discontinued opioids at 27 VA medical centers.

MAIN MEASURES

Chart review data from local facility reviewers identified socioeconomic characteristics, opioid de-prescribing rationale (e.g., risk-benefit, diversion) and practices (e.g., rate of opioid discontinuation, taper monitoring activities, withdrawal monitoring), and outcomes following discontinuation.

KEY RESULTS

Among 315 patients in FY13 and 322 patients in FY17 with opioid discontinuation, discontinuation rationale focused on diversion in FY13 and risk-benefit in FY17. Clinical pharmacists and pain management specialists had increased involvement in FY17 opioid discontinuations (36% versus 16%). Of all discontinuations, 56% of patients were tapered in FY13 versus 70% of patients in FY17. Tapering plans were longer in FY17 than in FY13 (163 days versus 65 days). Transitions to non-opioid pain therapy following opioid discontinuation were higher in FY17 compared to FY13 (70% versus 60%).

CONCLUSIONS

Veterans discontinued from high-dose long-term opioids in FY17 were more optimally managed compared to those in FY13. Findings suggest improvements in opioid de-prescribing following OSI implementation, but interpretation is limited by study design.

Blockade of 5-Hydroxytryptamine 2A Receptor Attenuates Precipitation of Naloxone-Induced Withdrawal Symptoms in Opioid-Exposed Mice

Heroin dependency has become a global problem and has caused significant clinical and socioeconomic burdens along with devastating medical consequences. Chronic drug exposure alters the expression and functional activity of 5-hydroxytryptamine (serotonin) 2A receptors (5-HT2ARs) in the brain. Furthermore, pharmacological blockade of 5-HT2ARs reduces cue-induced cocaine craving behaviors. In this study, we explored the influence of 5-HT2ARs on heroin-withdrawal behaviors in mice. Black C57BL/6J mice were given gradually increasing (10–50 mg/kg over 4.5 days) doses of heroin to induce heroin dependency, after which naloxone was given to precipitate withdrawal symptoms. MDL100907, a selective and potent 5-HT2AR antagonist, attenuated naloxone-precipitated withdrawal symptoms in these mice. In addition, 5-HT2AR protein levels increased significantly in the medial prefrontal cortex (mPFC), while phosphorylation of extracellular signal-regulated kinase (p-ERK) decreased in the mPFC after heroin exposure. In conclusion, these results suggest that 5-HT2ARs might be involved in the development of opioid dependency and that pharmacological blocking of 5-HT2ARs might be a new therapeutic strategy for heroin dependency.

Association Between Prescription Opioid Therapy for Noncancer Pain and Hepatitis C Virus Seroconversion

IMPORTANCE

Initiation of injection drug use may be more frequent among people dispensed prescription opioid therapy for noncancer pain, potentially increasing the risk of hepatitis C virus (HCV) acquisition.

OBJECTIVE

To assess the association between medically dispensed long-term prescription opioid therapy for noncancer pain and HCV seroconversion among individuals who were initially injection drug use-naive.

DESIGN, SETTING, AND PARTICIPANTS

A population-based, retrospective cohort study of individuals tested for HCV in British Columbia, Canada, with linkage to outpatient pharmacy dispensations, was conducted. Individuals with an initial HCV-negative test result followed by 1 additional test between January 1, 2000, and December 31, 2017, and who had no history of substance use at baseline (first HCV-negative test), were included. Participants were followed up from baseline to the last HCV-negative test or estimated date of seroconversion (midpoint between HCV-positive and the preceding HCV-negative test).

EXPOSURES

Episodes of prescription opioid use for noncancer pain were defined as acute (<90 days) or long-term (≥90 days). Prescription opioid exposure status (long-term vs prescription opioid-naive/acute) was treated as time-varying in survival analyses. In secondary analyses, long-term exposure was stratified by intensity of use (chronic vs. episodic) and by average daily dose in morphine equivalents (MEQ).

MAIN OUTCOMES AND MEASURES

Multivariable Cox regression models were used to assess the association between time-varying prescription opioid status and HCV seroconversion.

RESULTS

A total of 382 478 individuals who had more than 1 HCV test were included, of whom more than half were female (224 373 [58.7%]), born before 1974 (201 944 [52.8%]), and younger than 35 years at baseline (196 298 [53.9%]). Participants were followed up for 2 057 668 person-years and 1947 HCV seroconversions occurred. Of the participants, 41 755 people (10.9%) were exposed to long-term prescription opioid therapy at baseline or during follow-up. The HCV seroconversion rate per 1000 person-years was 0.8 among the individuals who were prescription opioid-naive/acute (1489 of 1947 [76.5%] seroconversions; 0.4% seroconverted within 5 years) and 2.1 with long-term prescription opioid therapy (458 of 1947 [23.5%] seroconversions; 1.1% seroconverted within 5 years). In multivariable analysis, exposure to long-term prescription opioid therapy was associated with a 3.2-fold (95% CI, 2.9-3.6) higher risk of HCV seroconversion (vs prescription opioid-naive/acute). In separate Cox models, long-term chronic use was associated with a 4.7-fold higher risk of HCV seroconversion (vs naive/acute use 95% CI, 3.9-5.8), and long-term higher-dose use (≥90 MEQ) was associated with a 5.1-fold higher risk (vs naive/acute use 95% CI, 3.7-7.1).

CONCLUSIONS AND RELEVANCE

In this cohort study of people with more than 1 HCV test, long-term prescription opioid therapy for noncancer pain was associated with a higher risk of HCV seroconversion among individuals who were injection drug use-naive at baseline or at prescription opioid initiation. These results suggest injection drug use initiation risk is higher among people dispensed long-term therapy and may be useful for informing approaches to identify and prevent HCV infection. These findings should not be used to justify abrupt discontinuation of long-term therapy, which could increase risk of harms.

Prescription opioid treatment for non-cancer pain and initiation of injection drug use: large retrospective cohort study

OBJECTIVE

To assess the association between long term prescription opioid treatment medically dispensed for non-cancer pain and the initiation of injection drug use (IDU) among individuals without a history of substance use.

DESIGN

Retrospective cohort study.

SETTING

Large administrative data source (containing information for about 1.7 million individuals tested for hepatitis C virus or HIV in British Columbia, Canada) with linkage to administrative health databases, including dispensations from community pharmacies.

PARTICIPANTS

Individuals age 11-65 years and without a history of substance use (except alcohol) at baseline.

MAIN OUTCOME MEASURES

Episodes of prescription opioid use for non-cancer pain were identified based on drugs dispensed between 2000 and 2015. Episodes were classified by the increasing length and intensity of opioid use (acute (lasting <90 episode days), episodic (lasting ≥90 episode days; with <90 days' drug supply and/or <50% episode intensity), and chronic (lasting ≥90 episode days; with ≥90 days' drug supply and ≥50% episode intensity)). People with a chronic episode were matched 1:1:1:1 on socioeconomic variables to those with episodic or acute episodes and to those who were opioid naive. IDU initiation was identified by a validated administrative algorithm with high specificity. Cox models weighted by inverse probability of treatment weights assessed the association between opioid use category (chronic, episodic, acute, opioid naive) and IDU initiation.

RESULTS

59 804 participants (14 951 people from each opioid use category) were included in the matched cohort, and followed for a median of 5.8 years. 1149 participants initiated IDU. Cumulative probability of IDU initiation at five years was highest for participants with chronic opioid use (4.0%), followed by those with episodic use (1.3%) and acute use (0.7%), and those who were opioid naive (0.4%). In the inverse probability of treatment weighted Cox model, risk of IDU initiation was 8.4 times higher for those with chronic opioid use versus those who were opioid naive (95% confidence interval 6.4 to 10.9). In a sensitivity analysis limited to individuals with a history of chronic pain, cumulative risk for those with chronic use (3.4% within five years) was lower than the primary results, but the relative risk was not (hazard ratio 9.7 (95% confidence interval 6.5 to 14.5)). IDU initiation was more frequent at higher opioid doses and younger ages.

CONCLUSIONS

The rate of IDU initiation among individuals who received chronic prescription opioid treatment for non-cancer pain was infrequent overall (3-4% within five years) but about eight times higher than among opioid naive individuals. These findings could have implications for strategies to prevent IDU initiation, but should not be used as a reason to support involuntary tapering or discontinuation of long term prescription opioid treatment.

High-Dose Opioid Use Among Veterans with Unexplained Gastrointestinal Symptoms Versus Structural Gastrointestinal Diagnoses

BACKGROUND

In a cohort of Veterans dually enrolled in the Department of Veterans Affairs (VA) and Medicare Part D, we sought to describe high-dose daily opioid use among Veterans with unexplained gastrointestinal (GI) symptoms and structural GI diagnoses and examine factors associated with high-dose use.

METHODS

We used linked national patient-level data from the VA and Centers for Medicare and Medicaid Services (CMS). We grouped patients into 3 subsets: those with unexplained GI symptoms (e.g., chronic abdominal pain); structural GI diagnoses (e.g., chronic pancreatitis); and those with a concurrent unexplained GI symptom and structural GI diagnosis. High-dose daily opioid use levels were examined as a binary variable [≥ 100 morphine milligram equivalents (MME)/day] and as an ordinal variable (50-99 MME/day, 100-119 MME/day, or ≥ 120 MME/day).

RESULTS

We identified 141,805 chronic GI patients dually enrolled in VA and Part D. High-dose opioid use was present in 11% of Veterans with unexplained GI symptoms, 10% of Veterans with structural GI diagnoses, and 15% of Veterans in the concurrent GI group. Compared to Veterans with only an unexplained GI symptom or structural diagnosis, concurrent GI patients were more likely to have higher daily opioid doses, more opioid days ≥ 100 MME, and higher risk of chronic use. Factors associated with high-dose use included opioid receipt from both VA and Part D, younger age, and benzodiazepine use.

CONCLUSIONS

A significant subset of chronic GI patients in the VA are high-dose opioid users. Efforts are needed to reduce high-dose use among Veterans with concurrent GI symptoms and diagnoses.

Endogenous opiates and behavior: 2019

This paper is the forty-second consecutive installment of the annual anthological review of research concerning the endogenous opioid system, summarizing articles published during 2019 that studied the behavioral effects of molecular, pharmacological and genetic manipulation of opioid peptides and receptors as well as effects of opioid/opiate agonists and antagonists. The review is subdivided into the following specific topics: molecular-biochemical effects and neurochemical localization studies of endogenous opioids and their receptors (1), the roles of these opioid peptides and receptors in pain and analgesia in animals (2) and humans (3), opioid-sensitive and opioid-insensitive effects of nonopioid analgesics (4), opioid peptide and receptor involvement in tolerance and dependence (5), stress and social status (6), learning and memory (7), eating and drinking (8), drug abuse and alcohol (9), sexual activity and hormones, pregnancy, development and endocrinology (10), mental illness and mood (11), seizures and neurologic disorders (12), electrical-related activity and neurophysiology (13), general activity and locomotion (14), gastrointestinal, renal and hepatic functions (15), cardiovascular responses (16), respiration and thermoregulation (17), and immunological responses (18).

Initial Patterns of Prescription Opioid Supply and Risk of Mortality Among Insured Adults in the United States

OBJECTIVE

To examine the association between initial patterns of prescription opioid supply (POS) and risk of all-cause mortality among an insured opioid-naïve patient population in the United States (US).

METHODS

This retrospective observational cohort study used de-identified, administrative health care claims data from a large national insurer (Optum Clinformatics Data Mart) from 2010 to 2015. Participants included insured, cancer-free adults prescribed opioid analgesics. Prescription opioids received during the first 6 months of therapy were used to categorize initial patterns of POS as daily or nondaily. Cox regression was used to estimate the association of initial patterns of POS with all-cause mortality within one year of follow-up, adjusting for baseline covariates to control for confounding.

RESULTS

A total of 4,054,417 patients were included, of which 2.75% had incident daily POS; 54.8% were female; median age was 50 years; mean Charlson comorbidity index (CCI) was 0.21 (standard deviation = 0.77); and mean daily morphine milligram equivalent was 34.61 (95% confidence intervals: 34.59, 34.63). There were 2068 more deaths per 100,000 person-years among patients who were prescribed opioids daily than nondaily. After adjusting for baseline covariates, the hazard of all-cause mortality among patients with incident daily POS was nearly twice that among those prescribed nondaily (hazard ratio [HR] = 1.94; 95% confidence intervals: 1.84, 2.04).

CONCLUSIONS

Among insured adult patients with noncancer pain, incident chronic POS was associated with a significantly increased risk of all-cause mortality over at most 1 year of follow-up. Because these results may be susceptible to bias, more research is needed to establish causality.

Chronic Opioid Therapy: A Scoping Literature Review on Evolving Clinical and Scientific Definitions

The management of chronic noncancer pain (CNCP) with chronic opioid therapy (COT) is controversial. There is a lack of consensus on how COT is defined resulting in unclear clinical guidance. This scoping review identifies and evaluates evolving COT definitions throughout the published clinical and scientific literature. Databases searched included PubMed, Embase, and Web of Science. A total of 227 studies were identified from 8,866 studies published between January 2000 and July 2019. COT definitions were classified by pain population of application and specific dosage/duration definition parameters, with results reported according to PRISMA-ScR. Approximately half of studies defined COT as "days' supply duration >90 days" and 9.3% defined as ">120 days' supply," with other days' supply cut-off points (>30, >60, or >70) each appearing in <5% of total studies. COT was defined by number of prescriptions in 63 studies, with 16.3% and 11.0% using number of initiations or refills, respectively. Few studies explicitly distinguished acute treatment and COT. Episode duration/dosage criteria was used in 90 studies, with 7.5% by Morphine Milligram Equivalents + days' supply and 32.2% by other "episode" combination definitions. COT definitions were applied in musculoskeletal CNCP (60.8%) most often, and typically in adults aged 18 to 64 (69.6%). The usage of ">90 days' supply" COT definitions increased from 3.2 publications/year before 2016 to 20.7 publications/year after 2016. An increasing proportion of studies define COT as ">90 days' supply." The most recent literature trends toward shorter duration criteria, suggesting that contemporary COT definitions are increasingly conservative. PERSPECTIVE: This study summarized the most common, current definition criteria for chronic opioid therapy (COT) and recommends adoption of consistent definition criteria to be utilized in practice and research. The most recent literature trends toward shorter duration criteria overall, suggesting that COT definition criteria are increasingly stringent.

Variations in Long-term Opioid Therapy Definitions: A Systematic Review of Observational Studies Using Routinely Collected Data (2000-2019)

Routinely collected data have been increasingly used to assess long-term opioid therapy (LTOT) patterns, with very little guidance on how to measure LTOT from these data sources. We conducted a systematic review of studies published between January 2000 and July 2019 to catalogue LTOT definitions, the rationale for definitions and LTOT rates in observational research using routinely collected data in nonsurgical settings. We screened 4056 abstracts, 210 full-text manuscripts and included 128 studies, mostly from the United States (81%) and published between 2015 and 2019 (69%). We identified 78 definitions of LTOT, commonly operationalised as 90 days of use within a year (23%). Studies often used multiple criteria to derive definitions (60%), mostly based on measures of duration, such as supply days/days of use (66%), episode length (21%) or prescription fills within specified time periods (12%). Definitions were based on previous publications (63%), clinical judgment (16%) or empirical data (3%); 10% of studies applied more than one definition. LTOT definition was not provided with enough details for replication in 14 studies and 38 studies did not specify the opioids evaluated. Rates of LTOT within study populations ranged from 0.2% to 57% according to study design and definition used. We observed a substantial rise in the last 5 years in studies evaluating LTOT with large variability in the definitions used and poor reporting of the rationale and implementation of definitions. This variation impacts on research reproducibility, comparability of findings and the development of strategies aiming to curb therapy that is not guideline-recommended.

Trajectories of Self-Reported Opioid Use Among Patients With HIV Engaged in Care: Results From a National Cohort Study

BACKGROUND

No prior studies have characterized long-term patterns of opioid use regardless of source or reason for use among patients with HIV (PWH). We sought to identify trajectories of self-reported opioid use and their correlates among a national sample of PWH engaged in care.

SETTING

Veterans Aging Cohort Study, a prospective cohort including PWH receiving care at 8 US Veterans Health Administration (VA) sites.

METHODS

Between 2002 and 2018, we assessed past year opioid use frequency based on self-reported "prescription painkillers" and/or heroin use at baseline and follow-up. We used group-based trajectory models to identify opioid use trajectories and multinomial logistic regression to determine baseline factors independently associated with escalating opioid use compared to stable, infrequent use.

RESULTS

Among 3702 PWH, we identified 4 opioid use trajectories: (1) no lifetime use (25%); (2) stable, infrequent use (58%); (3) escalating use (7%); and (4) de-escalating use (11%). In bivariate analysis, anxiety; pain interference; prescribed opioids, benzodiazepines and gabapentinoids; and marijuana use were associated with escalating opioid group membership compared to stable, infrequent use. In multivariable analysis, illness severity, pain interference, receipt of prescribed benzodiazepine medications, and marijuana use were associated with escalating opioid group membership compared to stable, infrequent use.

CONCLUSION

Among PWH engaged in VA care, 1 in 15 reported escalating opioid use. Future research is needed to understand the impact of psychoactive medications and marijuana use on opioid use and whether enhanced uptake of evidence-based treatment of pain and psychiatric symptoms can prevent escalating use among PWH.

The Opioid Epidemic: Challenge to Military Medicine and National Security

Introduction

We examine the current status of the military relevance of opioids, their use and misuse in military and veteran populations, the national security consequences of opioid use in our military age population, public health implications, and military, veteran, and government solutions for opioid addiction.

Materials and Methods

A literature search of recent published research, federal government, and related open source materials was conducted using PubMed, Google, and Google Scholar, and all materials retrieved were manually identified, screened, and evaluated for inclusion. A modified Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) approach was used for the selection of relevant articles. Heath policy literature and relevant demographic information published within the last 5 years was also included to provide current information and search for solutions to address the escalating national opioid crisis.

Results

Synthetic opioids are used for pain and trauma management, not readily substituted, and have exceptionally high addiction potential. Combat wounded veterans have greater potential for opioid misuse than civilian populations. Assessment, management, and treatment of opioid use in this population are essential. Veterans receiving synthetic opioids have been noted to have multiple overdose risk factors. Opioids are readily available nationally as “street drugs” and also in the form of fentanyl-contaminated heroin. The opioid crisis affects the military age population and the top states for military enlistments. Younger age males with lower education and income are at significant risk for opioid use disorder. Recently increased drug overdose deaths contribute to an increased U.S. mortality rate with a commensurate decline in life expectancy at birth. Opioid abuse contributes to increased incidence of infectious disease. Behavioral health programs directed at military and veterans to identify risk factors for opioid misuse have been introduced. Prescription drug monitoring initiatives continue for these populations with increased information exchanged between military and civilian healthcare. Lifesaving interventions for opioid addiction include methadone maintenance and fentanyl test strip accessibility. Newly implemented federal funding healthcare initiatives to the states are now directed at opioid use prevention and enhanced surveillance.

Conclusions

Given increasing rates of opioid addiction and death, viable solutions are universally needed. Successful intervention measures should be widely shared between military, veteran, and civilian healthcare and public health communities. Increased collaboration between these groups could inculcate successful programs to prevent and decrease opioid use. Results received from recent military and veterans’ programs for prescription and electronic medical record (EMR) monitoring and data sharing may also prove useful for civilian healthcare providers and hospital systems. Future evaluations from ongoing federally funded programs to the states for addiction surveillance and intervention may help create measures to address the proliferation of opioid addiction with increased death rates. Anticipated results from these federal efforts should help inform opioid programs in military and veterans’ health systems.

Prescription drug monitoring programs operational characteristics and fatal heroin poisoning

BACKGROUND

Prescription drug monitoring programs (PDMP), by reducing access to prescribed opioids (POs), may contribute to a policy environment in which some people with opioid dependence are at increased risk for transitioning from POs to heroin/other illegal opioids. This study examines how PDMP adoption and changes in the characteristics of PDMPs over time contribute to changes in fatal heroin poisoning in counties within states from 2002 to 2016.

METHODS

Latent transition analysis to classify PDMPs into latent classes (Cooperative, Proactive, and Weak) for each state and year, across three intervals (1999-2004, 2005-2009, 2010-2016). We examined the association between probability of PDMP latent class membership and the rate of county-level heroin poisoning death.

RESULTS

After adjustment for potential county-level confounders and co-occurring policy changes, adoption of a PDMP was significantly associated with increased heroin poisoning rates (22% increase by third year post-adoption). Findings varied by PDMP type. From 2010-2016, states with Cooperative PDMPs (those more likely to share data with other states, to require more frequent reporting, and include more drug schedules) had 19% higher heroin poisoning rates than states with Weak PDMPs (adjusted rate ratio [ARR] = 1.19; 95% CI = 1.14, 1.25). States with Proactive PDMPs (those more likely to report outlying prescribing and dispensing and provide broader access to law enforcement) had 6% lower heroin poisoning rates than states with No/Weak PDMPs (ARR = 0.94; 95% CI = 0.90, 0.98).

CONCLUSION

There is a consistent, positive association between state PDMP adoption and heroin poisoning mortality. However, this varies by PDMP type, with Proactive PDMPs associated with a small reduction in heroin poisoning deaths. This raises questions about the potential for PDMPs to support efforts to decrease heroin overdose risk, particularly by using proactive alerts to identify patients in need of treatment for opioid use disorder. Future research on mechanisms explaining the reduction in heroin poisonings after enactment of Proactive PDMPs is merited.