Factors Associated With Opioid Overdose After an Initial Opioid Prescription

Medications for opioid use disorder: Predictors of early discontinuation and reduction of overdose risk in US military veterans by medication type

AIM

This study: (1) estimated the effect of early discontinuation of medication for opioid use disorder (MOUD) on overdose probability and (2) measured the relationship between patient characteristics and early discontinuation probability for each MOUD type.

DESIGN, SETTING AND PARTICIPANTS

This was a retrospective cohort using electronic health record data from the US Veterans Healthcare Administration. Participants were veterans initiating MOUD with buprenorphine (BUP), methadone (MET) or extended-release naltrexone (XR-NTX) from fiscal years 2012-19. A total of 39 284 veterans met eligibility with 22 721 (57.8%) initiating BUP, 12 652 (32.2%) initiating MET and 3911 (10.0%) initiating XR-NTX.

MEASUREMENTS

Measurements (1) determined whether the veteran experienced an overdose in the 365 days after MOUD initiation (primary) and (2) early discontinuation of MOUD, defined as discontinuation before 180 days (secondary). We assumed that unobserved patient characteristics would jointly influence the probability of discontinuation and overdose. and estimated the joint distribution with a bivariate probit model.

FINDINGS

We found that 9.0% of BUP initiators who experienced an overdose above the predicted 3.9% had no veteran-discontinued BUP early; findings for XR-NTX were similar, with 12.2% of initiators overdosing above the predicted 4.5%, but this was statistically inconclusive. We found no relationship between early discontinuation and overdose for MET initiators, probably due to the high risk of both events. The patient characteristics included in our post-estimation exploratory analysis of early discontinuation varied by MOUD type, with between 14 (XR-NTX) and 25 (BUP) tested. The only characteristics with at least one level showing a statistically significant change in probability of early discontinuation for all three MOUD types were geography and prior-year exposure to psychotherapy, although direction and magnitude varied.

CONCLUSION

Early discontinuation of buprenorphine, and probably extended-release naltrexone, appears to be associated with a greater probability of experiencing a fatal or non-fatal overdose among US veterans receiving medication for opioid use disorder (MOUD); methadone does not show the same association. There is no consistent set of characteristics among early discontinuers by MOUD type.

State Mandates On Naloxone Coprescribing Associated With Short-Term Increase In Naloxone Codispensing

In the midst of the opioid crisis in the US, efforts to mitigate overdose risks have become paramount, leading some states to introduce mandates for coprescribing the life-saving overdose reversal drug naloxone. These mandates were designed to specifically address people receiving opioid analgesics who had an elevated risk for overdose. This included people receiving high opioid dosages, those concurrently using benzodiazepines, or those with a history of substance use disorder or overdose. Using a nationally representative, multipayer cohort of patients receiving prescription opioids, we investigated how naloxone codispensing rates changed at the state level from 2016 to 2021 among patients with an elevated risk for overdose. Then we used controlled interrupted time series analyses to assess mandates' longitudinal impact on naloxone codispensing in ten states that implemented mandates. We observed an immediate and significant increase in the naloxone codispensing rates in eight states after the implementation of mandates. Nevertheless, in five of these states, the codispensing rates exhibited a subsequent downward trend after the initial increase. State mandates show potential for improving naloxone codispensing; however, mandates alone might not be adequate for sustained change. Further research is needed to identify strategies complementing and enhancing the impact of mandates in combating the overdose crisis.

Opioid Overdose After Medication for Opioid Use Disorder Initiation Following Hospitalization or ED Visit

Importance

Hospitalizations related to opioid use disorder (OUD) represent an opportunity to initiate medication for OUD (MOUD).

Objective

To assess whether starting MOUD after a hospitalization or emergency department (ED) visit is associated with the odds of fatal and nonfatal opioid overdose at 6 and 12 months.

Design, Setting, and Participants

This population-based cohort study used data from the Oregon Comprehensive Opioid Risk Registry, which links all payer claims data to other administrative health datasets, for individuals aged 18 years or older who had diagnosis codes related to OUD recorded at an index ED visit or hospitalization from January 2017 to December 2019. Data were analyzed between May 2023 and January 2024.

Exposures

Receipt of MOUD within the 7 days after an OUD-related hospital visit.

Main Outcomes and Measures

The primary outcome was fatal or nonfatal overdose at 6 and 12 months after discharge. Sample characteristics, including age, sex, insurance plan, number of comorbidities, and opioid-related overdose events, were stratified by receipt or nonreceipt of MOUD within 7 days after an OUD-related hospital visit. A logistic regression model was used to investigate the association between receipt of MOUD and having an opioid overdose event.

Results

The study included 22 235 patients (53.1% female; 25.0% aged 25-39 years) who had an OUD-related hospital visit during the study period. Overall, 1184 patients (5.3%) received MOUD within 7 days of their ED visit or hospitalization. Of these patients, 683 (57.7%) received buprenorphine, 463 (39.1%) received methadone, and 46 (3.9%) received long-acting injectable naltrexone. Patients who received MOUD within 7 days after discharge had lower adjusted odds of fatal or nonfatal overdose at 6 months compared with those who did not (adjusted odds ratio [AOR], 0.63; 95% CI, 0.41-0.97). At 12 months, there was no difference in adjusted odds of fatal or nonfatal overdose between these groups (AOR, 0.79; 95% CI, 0.58-1.08). Patients had a lower risk of fatal or nonfatal overdose at 6 months associated with buprenorphine use (AOR, 0.50; 95% CI, 0.27-0.95) but not with methadone use (AOR, 0.57; 95% CI, 0.28-1.17).

Conclusions and Relevance

In this cohort study of individuals with an OUD-related hospital visit, initiation of MOUD was associated with reduced odds of opioid-related overdose at 6 months. Hospitals should consider implementing programs and protocols to offer initiation of MOUD to patients with OUD who present for care.

Development and validation of machine-learning algorithms predicting retention, overdoses, and all-cause mortality among US military veterans treated with buprenorphine for opioid use disorder

BACKGROUND

Buprenorphine for opioid use disorder (B-MOUD) is essential to improving patient outcomes; however, retention is essential.

OBJECTIVE

To develop and validate machine-learning algorithms predicting retention, overdoses, and all-cause mortality among US military veterans initiating B-MOUD.

METHODS

Veterans initiating B-MOUD from fiscal years 2006-2020 were identified. Veterans' B-MOUD episodes were randomly divided into training (80%;n = 45,238) and testing samples (20%;n = 11,309). Candidate algorithms [multiple logistic regression, least absolute shrinkage and selection operator regression, random forest (RF), gradient boosting machine (GBM), and deep neural network (DNN)] were used to build and validate classification models to predict six binary outcomes: 1) B-MOUD retention, 2) any overdose, 3) opioid-related overdose, 4) overdose death, 5) opioid overdose death, and 6) all-cause mortality. Model performance was assessed using standard classification statistics [e.g., area under the receiver operating characteristic curve (AUC-ROC)].

RESULTS

Episodes in the training sample were 93.0% male, 78.0% White, 72.3% unemployed, and 48.3% had a concurrent drug use disorder. The GBM model slightly outperformed others in predicting B-MOUD retention (AUC-ROC = 0.72). RF models outperformed others in predicting any overdose (AUC-ROC = 0.77) and opioid overdose (AUC-ROC = 0.77). RF and GBM outperformed other models for overdose death (AUC-ROC = 0.74 for both), and RF and DNN outperformed other models for opioid overdose death (RF AUC-ROC = 0.79; DNN AUC-ROC = 0.78). RF and GBM also outperformed other models for all-cause mortality (AUC-ROC = 0.76 for both). No single predictor accounted for >3% of the model's variance.

CONCLUSIONS

Machine-learning algorithms can accurately predict OUD-related outcomes with moderate predictive performance; however, prediction of these outcomes is driven by many characteristics.

Epidemiology of Opioid Prescribing After Discharge From Surgical Procedures Among Adults

Importance

Opioid medications are commonly prescribed for the management of acute postoperative pain. In light of increasing awareness of the potential risks of opioid prescribing, data are needed to define the procedures and populations for which most opioid prescribing occurs.

Objective

To identify the surgical procedures accounting for the highest proportion of opioids dispensed to adults after surgery in the United States.

Design, Setting, and Participants

This cross-sectional analysis of the 2020-2021 Merative MarketScan Commercial and Multi-State Databases, which capture medical and pharmacy claims for 23 million and 14 million annual privately insured patients and Medicaid beneficiaries, respectively, included surgical procedures for individuals aged 18 to 64 years with a discharge date between December 1, 2020, and November 30, 2021. Procedures were identified using a novel crosswalk between 3664 Current Procedural Terminology codes and 1082 procedure types. Data analysis was conducted from November to December 2023.

Main Outcomes and Measures

The total amount of opioids dispensed within 3 days of discharge from surgery across all procedures in the sample, as measured in morphine milligram equivalents (MMEs), was calculated. The primary outcome was the proportion of total MMEs attributable to each procedure type, calculated separately among procedures for individuals aged 18 to 44 years and those aged 45 to 64 years.

Results

Among 1 040 934 surgical procedures performed (mean [SD] age of patients, 45.5 [13.3] years; 663 609 [63.7%] female patients), 457 016 (43.9%) occurred among individuals aged 18 to 44 years and 583 918 (56.1%) among individuals aged 45 to 64 years. Opioid prescriptions were dispensed for 503 058 procedures (48.3%). Among individuals aged 18 to 44 years, cesarean delivery accounted for the highest proportion of total MMEs dispensed after surgery (19.4% [11 418 658 of 58 825 364 MMEs]). Among individuals aged 45 to 64 years, 4 of the top 5 procedures were common orthopedic procedures (eg, arthroplasty of knee, 9.7% of total MMEs [5 885 305 of 60 591 564 MMEs]; arthroscopy of knee, 6.5% [3 912 616 MMEs]).

Conclusions and Relevance

In this cross-sectional study of the distribution of postoperative opioid prescribing in the United States, a small number of common procedures accounted for a large proportion of MMEs dispensed after surgery. These findings suggest that the optimal design and targeting of surgical opioid stewardship initiatives in adults undergoing surgery should focus on the procedures that account for the most opioid dispensed following surgery over the life span, such as childbirth and orthopedic procedures. Going forward, systems that provide periodic surveillance of opioid prescribing and associated harms can direct quality improvement initiatives to reduce opioid-related morbidity and mortality.

Increasing Naloxone Access and Prescribing for Patients on High-Dose Opioids From a Managed Care Pharmacy Health Plan Perspective

Background: Opioid overdoses decrease when communities have access to naloxone. Clinicians play a key role in offering naloxone to high-risk chronic opioid patients. Managed care pharmacists within our health plan noted disproportionate processing for claims of opioid utilizers compared to claims of naloxone prescriptions. Objective: To increase naloxone access and prescribing to members who classify at a dosage with a higher risk for opioid overdose, defined as over 90 morphine milligram equivalents (MME). Methods: Multiple system-wide initiatives were implemented to improve naloxone access. A claims file was pulled monthly to identify members on opioids meeting MME criteria >90 MME per day excluding members with cancer, sickle cell disease, or on hospice. A separate report was then matched to naloxone claims and prescribing percentages calculated. Results: 12 444 utilizing members on opioids were identified from June 2019 prescription claims data. Of these, 131 were on opioids exceeding 90 MME per day, or 1.05% of utilizers, and the percentage of members exceeding 90 MME per day prescribed naloxone was 6.87%. By May 2023, the percentage of opioid utilizers exceeding 90 MME per day decreased to 0.58%. Naloxone prescribing increased to 41.18%. Conclusion: A multi-pronged approach to improve access to naloxone and continued educational efforts by our health plan increased naloxone prescribing in members on opioids exceeding 90 MME per day.

New opioid prescription claims and their clinical indications: results from health administrative data in Quebec, Canada, over 14 years

OBJECTIVES

Describe new opioid prescription claims, their clinical indications and annual trends among opioid naïve adults covered by the Quebec's public drug insurance plan (QPDIP) for the fiscal years 2006/2007-2019/2020.

DESIGN AND SETTING

A retrospective observational study was conducted using data collected between 2006/2007 and 2019/2020 within the Quebec Integrated Chronic Disease Surveillance System, a linkage administrative data.

PARTICIPANTS

A cohort of opioid naïve adults and new opioid users was created for each study year (median number=2 263 380 and 168 183, respectively, over study period).

INTERVENTION

No.

MAIN OUTCOME MEASURE AND ANALYSES

A new opioid prescription was defined as the first opioid prescription claimed by an opioid naïve adult during a given fiscal year. The annual incidence proportion for each year was then calculated and standardised for age. A hierarchical algorithm was built to identify the most likely clinical indication for this prescription. Descriptive and trend analyses were performed.

RESULTS

There was a 1.7% decrease of age-standardised annual incidence proportion during the study period, from 7.5% in 2006/2007 to 5.8% in 2019/2020. The decrease was highest after 2016/2017, reaching 5.5% annual percentage change. Median daily dose and days' supply decreased from 27 to 25 morphine milligram equivalent/day and from 5 to 4 days between 2006/2007 and 2019/2020, respectively. Between 2006/2007 and 2019/2020, these prescriptions' most likely clinical indications increased for cancer pain from 34% to 48%, for surgical pain from 31% to 36% and for dental pain from 9% to 11%. Inversely, the musculoskeletal pain decreased from 13% to 2%. There was good consistency between the clinical indications identified by the algorithm and prescriber's specialty or user's characteristics.

CONCLUSIONS

New opioid prescription claims (incidence, dose and days' supply) decreased slightly over the last 14 years among QPDIP enrollees, especially after 2016/2017. Non-surgical and non-cancer pain became less common as their clinical indication.

Burden of Chronic and Heavy Opioid Use Among Elderly Community Dwellers in the U.S

Introduction

Opioid overprescribing may fuel the opioid epidemic and increase the risk of complications of opioid misuse. This study examined trends and determinants of chronic and heavy opioid use among elderly community dwellers in the U.S.

Methods

Medicare Current Beneficiary Surveys data from 2006 to 2019 were used. Common opioid medications were identified in the prescription medication files (n=47,264). Patients with Chronic users were defined as those receiving 6 or more opioid prescriptions within a year or on medication for 3 or more months, and heavy users were those having an average daily dose of 90 or more morphine milligram equivalents or 3,780 morphine milligram equivalents or more per continuous treatment episode.

Results

One in 6 elderly community dwellers ever used opioids during the study period. Chronic users were more likely to be women than men (68.9% vs 31.1%, p<0.001). Of all survey participants, 4.3% were chronic users, and 2.8% were heavy users. Among ever users, 27.7% were chronic users, and 18.1% were heavy users. The rate of opioid use rose from 12.1% in 2006, peaked at 22.8% in 2013, and decreased to 11.7% in 2019. Chronic use was 5.1%, 10.7%, and 7.6%, respectively. Heavy use was 5.5%, 10.7%, and 7.6%, respectively. However, for chronic and heavy users, there was no significant difference in the median opioid dosage and opioid duration between males and females.

Conclusions

Among elderly Medicare beneficiaries, opioid prescriptions have been decreasing since 2013. However, a substantial number of elderly people were chronic and heavy users, calling for better opioid management among them.

Medicaid Insurance Predicts Increased Postoperative Care Encounters Among Patients on Long-Term Opioid Therapy

OBJECTIVE

This study examined the association between insurance type and postoperative unplanned care encounters among patients on long-term opioid therapy prior to surgery.

SUMMARY BACKGROUND DATA

Preoperative long-term opioid therapy is associated with unique risks and poorer outcomes following surgery. To date, the extent to which insurance coverage influences postoperative outcomes in this population remains unclear.

METHODS

Among individuals receiving a supply of greater than 120 total days or at least 10 opioid prescriptions in the year prior to surgery, we examined patients with Medicaid or private insurance who underwent abdominopelvic surgery from 2017 to 2021 across 70 hospitals in the state of Michigan. The primary outcome was unplanned care encounters, defined as an emergency department visit or unplanned readmission within 30 days of discharge from surgery. Multivariable logistic regression was used to assess the likelihood of acute care events with insurance type as the primary covariate of interest.

RESULTS

Among 1212 patients on long-term opioid therapy prior to surgery, 45.6% (n = 553) had Medicaid insurance. Overall, one in eight (n=151) patients met criteria for a postoperative unplanned care encounter within 30 days. The probability of an unplanned encounter was 4.5 percentage points higher among patients with Medicaid insurance compared to private insurance (95% CI: 0.5%, 8.4%).

CONCLUSIONS

Among patients on preoperative long-term opioid therapy, unplanned care encounters were higher among patients with Medicaid when compared to private insurance. While this is likely multifactorial, differences by insurance status may point to disparities in underlying social determinants of health and suggest the need for postoperative care pathways that address these gaps.

Affordable housing through the Low-Income Housing Tax Credit program and opioid overdose emergency department visits

INTRODUCTION

The United States continues to experience an opioid overdose crisis. As a key social determinant of health, housing insecurity may contribute to initiation of substance use and can threaten outcomes for those with substance use disorders by increasing stress, risky substance use, discontinuity of treatment, and return to use, all of which may increase the risk of overdose. The Low-Income Housing Tax Credit (LIHTC) program supports access to rental housing for low-income populations. By facilitating access to affordable housing, this program may improve housing security, thereby reducing overdose risk.

METHODS

We used data from LIHTC Property Data and the State Emergency Department Database (SEDD) to identify the number of LIHTC units available and opioid overdoses discharged from the emergency department (ED) in 13 states between 2005 and 2014.

RESULTS

Between 2005 and 2014, mean opioid overdose ED visits were higher in states with fewer LIHTC units (<28 LIHTC units per 100,000 population) at 26.5 per 100,000 population as compared to states with higher LIHTC units (≥28 LIHTC units per 100,000 population) at 21.1 per 100,000. We find that greater availability of LIHTC units was associated with decreased rates of opioid overdose ED visits (RR 0.94; CI 0.90, 1.00).

CONCLUSIONS

Given the importance of housing as a key social determinant of health, the provision of affordable housing may mitigate substance misuse and prevent nonfatal opioid overdose.

Leveraging a Learning Collaborative Model to Develop and Pilot Quality Measures to Improve Opioid Prescribing in the Emergency Department

The American College of Emergency Physicians (ACEP) Emergency Medicine Quality Network (E-QUAL) Opioid Initiative was launched in 2018 to advance the dissemination of evidence-based resources to promote the care of emergency department (ED) patients with opioid use disorder. This virtual platform-based national learning collaborative includes a low-burden, structured quality improvement project, data benchmarking, tailored educational content, and resources designed to support a nationwide network of EDs with limited administrative and research infrastructure. As a part of this collaboration, we convened a group of experts to identify and design a set of measures to improve opioid prescribing practices to provide safe analgesia while reducing opioid-related harms. We present those measures here, alongside initial performance data on those measures from a sample of 370 nationwide community EDs participating in the 2019 E-QUAL collaborative. Measures include proportion of opioid administration in the ED, proportion of alternatives to opioids as first-line treatment, proportion of opioid prescription, opioid pill count per prescription, and patient medication safety education among ED visits for atraumatic back pain, dental pain, or headache. The proportion of benzodiazepine and opioid coprescribing for ED visits for atraumatic back pain was also evaluated. This project developed and effectively implemented a collection of 6 potential measures to evaluate opioid analgesic prescribing across a national sample of community EDs, representing the first feasibility assessment of opioid prescribing-related measures from rural and community EDs.

A bacteriophage virus-like particle vaccine against oxycodone elicits high-titer and long-lasting antibodies that sequester drug in the blood

Opioid use disorder (OUD) and opioid overdoses are public health emergencies. In 2021, 80,000 opioid overdose associated deaths were reported in the United States. Despite the availability of treatment strategies, including medications for opioid use disorder (MOUD) and naloxone, opioid overdoses continue to increase at an alarming rate. Opioid vaccines are a novel approach to combat the growing crisis with several candidates recently entering human clinical trials. In this study, we investigated Qβ bacteriophage virus-like particles (VLPs) as a vaccine platform for immunogenic display of oxycodone. A derivative of oxycodone was conjugated to pre-formed Qβ VLPs using a sulfhydryl-amine reactive heterobifunctional crosslinker with high loading of oxycodone. In mice, intramuscular immunization with Qβ-oxycodone elicited high-titer, high-avidity and long-lasting antibody responses. Qβ-oxycodone was also immunogenic after storage at ambient room temperature for over two weeks, demonstrating that the vaccine is highly thermostable. In mice, immunization with Qβ-oxycodone elicited antibodies that sequester oxycodone in the serum, an important mechanism for preventing the adverse effects of opioid activity. Finally, Qβ-oxycodone is immunogenic in nonhuman primates, eliciting serum oxycodone antibodies after intramuscular immunization of rhesus macaques. These data establish Qβ-oxycodone as a promising opioid vaccine candidate.

Initial opioid prescription characteristics and risk of opioid misuse, poisoning and dependence: retrospective cohort study

OBJECTIVE

To identify individual and initial prescription-related factors associated with an increased risk for opioid-related misuse, poisoning and dependence (MPD) in patients with non-cancer pain.

METHODS

Cohort study linking several databases covering 5 million inhabitants of the region of Valencia, Spain, including all adults initiating prescription opioids in the period 2012-2018. To ascertain the association between the characteristics of the initial prescription choice and the risk of opioid MPD, we used shared frailty Cox regression models. We additionally considered death as a competing risk in sensitivity analyses.

RESULTS

958 019 patients initiated opioid prescription from 2012 to 2018, of which 0.13% experienced MPD. Most patients were prescribed tramadol as initial opioid (76.7%) followed by codeine (16.3%), long-acting opioids (6.7%), short-acting opioids (0.2%) and ultrafast opioids (0.1%). Initiation with ultrafast (HR 7.2; 95% CI 4.1 to 12.6), short-acting (HR 4.8; 95% CI 2.3 to 10.2) and long-acting opioids (HR 1.5; 95% CI 1.2 to 1.9) were associated with a higher risk of MPD when compared with tramadol. Initial prescriptions covering 4-7 days (HR 1.3; 95% CI 1.0 to 1.8), 8-14 days (HR 1.4; 95% CI 1.0 to 1.9), 15-30 days (HR 1.7; 95% CI 1.2 to 2.3) and more than one a month (HR 1.8; 95% CI 1.3 to 2.5) were associated with more MPD risk than initial prescriptions for 1-3 days. Treatments with >120 daily morphine milligram equivalents (MME) increased MPD risk (vs <50 MME, HR 1.6; 95% CI 1.1 to 2.2). Main individual factors associated with increased risk of MPD risk were male sex (HR 2.4; 95% CI 2.1 to 2.7), younger age (when compared with patients aged 18-44 years, patients aged 45-64 years, HR 0.4; 95% CI 0.4 to 0.5; patients aged 65-74 years, HR 0.4; 95% CI 0.3 to 0.5 and patients aged 75 years old and over, HR 0.7; 95% CI 0.6 to 0.8), lack of economic resources (2.1; 95% CI 1.8 to 2.5) and registered misuse of alcohol (2.9; 95% CI 2.4 to 3.5). Sensitivity analyses yielded overall comparable results.

CONCLUSIONS

Our study identifies riskier patterns of opioid prescription initiation for non-cancer indications, as well as patient subgroups with higher risk of misuse, poisoning and dependence.

The association between community social vulnerability and prescription opioid availability with individual opioid overdose

BACKGROUND

This study aims to assess the association of community social vulnerability and community prescription opioid availability with individual non-fatal or fatal opioid overdose.

METHODS

We identified patients 12 years of age or older from the Oregon All Payer Claims database (APCD) linked to other public health datasets. Community-level characteristics were captured in an exposure period (EP) (1/1/2018-12/31/2018) and included: census tract-level social vulnerability domains (socio-economic status, household composition, racial and ethnic minority status, and housing type and transportation), census tract-level prescriptions and community-level opioid use disorder (OUD) diagnoses per 100 capita binned into quartiles or quintiles. We employed Cox models to estimate the risk of fatal and non-fatal opioid overdoses events in the 12 months following the EP.

MAIN FINDINGS

We identified 1,548,252 individuals. Patients were mostly female (54%), White (61%), commercially insured (54%), and lived in metropolitan areas (81%). Of the total sample, 2485 (0.2%) experienced a non-fatal opioid overdose and 297 died of opioid overdose. There was higher hazard for non-fatal overdose in communities with greater OUD per 100 capita. We also found higher non-fatal and fatal hazards for opioid overdose among patients in communities with higher housing type and transportation-related vulnerability compared to the lowest quintile. Conversely, patients were at less risk of opioid overdose when living in communities with greater prevalence of the young or the elderly, the disabled, single parent families or low English proficiency.

CONCLUSION

These findings underscore the importance of the environmental context when considering public health policies to reduce opioid harms.

Predictors of fatal and nonfatal overdose after prescription of opioids for chronic pain: a systematic review and meta-analysis of observational studies

BACKGROUND

Higher doses of opioids, mental health comorbidities, co-prescription of sedatives, lower socioeconomic status and a history of opioid overdose have been reported as risk factors for opioid overdose; however, the magnitude of these associations and their credibility are unclear. We sought to identify predictors of fatal and nonfatal overdose from prescription opioids.

METHODS

We systematically searched MEDLINE, Embase, CINAHL, PsycINFO and Web of Science up to Oct. 30, 2022, for observational studies that explored predictors of opioid overdose after their prescription for chronic pain. We performed random-effects meta-analyses for all predictors reported by 2 or more studies using odds ratios (ORs) and 95% confidence intervals (CIs).

RESULTS

Twenty-eight studies (23 963 716 patients) reported the association of 103 predictors with fatal or nonfatal opioid overdose. Moderate- to high-certainty evidence supported large relative associations with history of overdose (OR 5.85, 95% CI 3.78-9.04), higher opioid dose (OR 2.57, 95% CI 2.08-3.18 per 90-mg increment), 3 or more prescribers (OR 4.68, 95% CI 3.57-6.12), 4 or more dispensing pharmacies (OR 4.92, 95% CI 4.35-5.57), prescription of fentanyl (OR 2.80, 95% CI 2.30-3.41), current substance use disorder (OR 2.62, 95% CI 2.09-3.27), any mental health diagnosis (OR 2.12, 95% CI 1.73-2.61), depression (OR 2.22, 95% CI 1.57-3.14), bipolar disorder (OR 2.07, 95% CI 1.77-2.41) or pancreatitis (OR 2.00, 95% CI 1.52-2.64), with absolute risks among patients with the predictor ranging from 2-6 per 1000 for fatal overdose and 4-12 per 1000 for nonfatal overdose.

INTERPRETATION

We identified 10 predictors that were strongly associated with opioid overdose. Awareness of these predictors may facilitate shared decision-making regarding prescribing opioids for chronic pain and inform harm-reduction strategies SYSTEMATIC REVIEW REGISTRATION: Open Science Framework (https://osf.io/vznxj/).

Predictors of persistent opioid use in non-cancer older adults: a retrospective cohort study

BACKGROUND

Long-term opioid use and associated adverse outcomes have increased dramatically in recent years. Limited research is available on long-term opioid use in older adults.

OBJECTIVE

We aimed to determine the incidence and predictors of long-term or persistent opioid use (POU) amongst opioid-naïve older adults without a cancer diagnosis.

METHODS

This was a retrospective cohort study using five national administrative healthcare databases in New Zealand. We included all opioid-naïve older adults (≥65 years) who were initiated on opioid therapy between January 2013 and June 2018. The outcome of interest was POU, defined as having continuously filled ≥1 opioid prescription within 91-180 days after the index opioid prescription. Multivariable logistic regression was used to examine the predictors of POU.

RESULTS

The final sample included 268,857 opioid-naïve older adults; of these, 5,849(2.2%) developed POU. Several predictors of POU were identified. The use of fentanyl (adjusted odds ratio (AOR) = 3.61; 95% confidence interval (CI) 2.63-4.95), slow-release opioids (AOR = 3.02; 95%CI 2.78-3.29), strong opioids (AOR = 2.03; 95%CI 1.55-2.65), Charlson Comorbidity Score ≥ 3 (AOR = 2.09; 95% CI 1.78-2.46), history of substance abuse (AOR = 1.52; 95%CI 1.35-1.72), living in most socioeconomically deprived areas (AOR = 1.40; 95%CI 1.27-1.54), and anti-epileptics (AOR = 2.07; 95%CI 1.89-2.26), non-opioid analgesics (AOR = 2.05; 95%CI 1.89-2.21), antipsychotics (AOR = 1.96; 95%CI 1.78-2.17) or antidepressants (AOR = 1.50; 95%CI 1.41-1.59) medication use were the strongest predictors of POU.

CONCLUSION

A significant proportion of patients developed POU, and several factors were associated with POU. The findings will enable healthcare providers and policymakers to target early interventions to prevent POU and related adverse events.

State- and County-Level Geographic Variation in Opioid Use Disorder, Medication Treatment, and Opioid-Related Overdose Among Medicaid Enrollees

Importance

The opioid crisis disproportionately affects Medicaid enrollees, yet little systematic evidence exists regarding how prevalence of and health care utilization for opioid use disorder (OUD) vary across geographical areas.

Objectives

To characterize state- and county-level variation in claims-based prevalence of OUD and rates of medication treatment for OUD and OUD-related nonfatal overdose among Medicaid enrollees.

Design, Setting, and Participants

This cross-sectional study used data from the Transformed Medicaid Statistical Information System Analytic Files from January 1, 2016, to December 31, 2018. Participants were Medicaid enrollees with or without OUD in 46 states; Washington, DC; and Puerto Rico who were aged 18 to 64 years and not dually enrolled in Medicare. The analysis was conducted between September 2022 and April 2023.

Exposure

Calendar-year OUD prevalence.

Main Outcomes and Measures

The main outcomes were claims-based measures of OUD prevalence and rates of medication treatment for OUD and opioid-related nonfatal overdose. Individual records were aggregated at the state and county level, and variation was assessed within and across states.

Results

Of the 76 390 817 Medicaid enrollee-year observations included in our study (mean [SD] enrollee age, 36.5 [1.6] years; 59.0% female), 2 280 272 (3.0%) had a claims-based OUD (mean [SD] age, 38.9 [3.6] years; 51.4% female). Of enrollees with OUD, 41.2% were eligible due to Medicaid expansion, 46.4% had other substance use disorders, 55.8% had mental health conditions, 55.2% had claims indicating some form of OUD medication, and 5.8% had claims indicating an overdose during a calendar year. Claims-based outcomes exhibited substantial variation across states: OUD prevalence ranged from 0.6% in Arkansas and Puerto Rico to 9.7% in Maryland, rates of OUD medication treatment ranged from 17.7% in Kansas to 82.8% in Maine, and rates of overdose ranged from 0.3% in Mississippi to 10.5% in Illinois. Pronounced variation was also found within states (eg, OUD prevalence in Maryland ranged from 2.2% in Prince George's County to 21.6% in Cecil County).

Conclusions and Relevance

In this cross-sectional study of Medicaid enrollees from 2016 to 2018, claims-based prevalence of OUD and rates of OUD medication treatment and opioid-related overdose varied substantially across and within states. Further research appears to be needed to identify important factors influencing this variation.

Safety and Distribution of Opioid Prescribing by U.S. Surgeons

OBJECTIVE

To estimate high-risk prescribing patterns among opioid prescriptions from U.S. surgeons; to characterize the distribution of high-risk prescribing among surgeons.

BACKGROUND

National data on the prevalence of opioid prescribing and high-risk opioid prescribing by U.S. surgeons are lacking.

METHODS

Using the IQVIA Prescription Database, which reports dispensing from 92% of U.S. pharmacies, we identified opioid prescriptions from surgeons dispensed in 2019 to patients ages ≥12 years. "High-risk" prescriptions were characterized by: days supplied >7, daily dosage ≥50 oral morphine equivalents (OMEs), opioid-benzodiazepine overlap, and extended-release/long-acting opioid. We determined the proportion of opioid prescriptions, total OMEs, and high-risk prescriptions accounted for by "high-volume surgeons" (those in the ≥95th percentile for prescription counts). We used linear regression to identify characteristics associated with being a high-volume surgeon.

RESULTS

Among 15,493,018 opioid prescriptions included, 7,036,481 (45.4%) were high-risk. Among 114,610 surgeons, 5753 were in the 95th percentile or above for prescription count, with ≥520 prescriptions dispensed in 2019. High-volume surgeons accounted for 33.5% of opioid prescriptions, 52.8% of total OMEs, and 44.2% of high-risk prescriptions. Among high-volume surgeons, 73.9% were orthopedic surgeons and 60.6% practiced in the South. Older age, male sex, specialty, region, and lack of affiliation with academic institutions or health systems were correlated with high-risk prescribing.

CONCLUSIONS

The top 5% of surgeons account for 33.5% of opioid prescriptions and 45.4% of high-risk prescriptions. Quality improvement initiatives targeting these surgeons may have the greatest yield given their outsized role in high-risk prescribing.

Psychosocial problems and high amount of opioid administration are associated with opioid dependence and abuse after first exposure for chronic pain patients

Controversy surrounding the use of opioids for the treatment and the unique characteristics of chronic pain heighten the risks for abuse and dependence; however, it's unclear if higher doses of opioids and first exposure are associated with dependence and abuse. This study aimed to identify patients who developed dependence or opioid abuse after exposed to opioids for the first time and what were the risks factors associated with the outcome. A retrospective observational cohort study analyzed 2,411 patients between 2011 and 2017 who had a diagnosis of chronic pain and received opioids for the first time. A logistic regression model was used to estimate the likelihood of opioid dependence/abuse after the first exposure based on their mental health conditions, prior substance abuse disorders, demographics, and the amount of MME per day patients received. From 2,411 patients, 5.5 % of the patients had a diagnosis of dependence or abuse after the first exposure. Patients who were depressed (OR = 2.09), previous non-opioid substance dependence or abuse (OR = 1.59) or received greater than 50 MME per day (OR = 1.03) showed statistically significant relationship with developing opioid dependence or abuse, while age (OR = -1.03) showed to be a protective factor. Further studies should stratify chronic pain patients into groups who is in higher risk in developing opioid dependence or abuse and develop alternative strategies for pain management and treatments beyond opioids. This study reinforces the psychosocial problems as determinants of opioid dependence or abuse and risk factors, and the need for safer opioid prescribing practices.

Multiorganizational consensus to define guiding principles for perioperative pain management in patients with chronic pain, preoperative opioid tolerance, or substance use disorder

Significant knowledge gaps exist in the perioperative pain management of patients with a history of chronic pain, substance use disorder, and/or opioid tolerance as highlighted in the US Health and Human Services Pain Management Best Practices Inter-Agency Task Force 2019 report. The report emphasized the challenges of caring for these populations and the need for multidisciplinary care and a comprehensive approach. Such care requires stakeholder alignment across multiple specialties and care settings. With the intention of codifying this alignment into a reliable and efficient processes, a consortium of 15 professional healthcare societies was convened in a year-long modified Delphi consensus process and summit. This process produced seven guiding principles for the perioperative care of patients with chronic pain, substance use disorder, and/or preoperative opioid tolerance. These principles provide a framework and direction for future improvement in the optimization and care of 'complex' patients as they undergo surgical procedures.

Out-of-hospital opioid prescriptions after knee and hip arthroplasty: prescribers and the first prescribed opioid

BACKGROUND

We determined the first prescribed opioid and the prescribers of opioids after knee and hip arthroplasty (KA/HA) between 2013 and 2018 in the Netherlands. We also evaluated whether the first prescribed opioid dose was associated with the total dispensed dose and long-term opioid use in the first postoperative year.

METHODS

The Dutch Foundation for Pharmaceutical Statistics was linked to the Dutch Arthroplasty Register. Stratified for KA/HA, the first out-of-hospital opioid within 30 days of operation was quantified as median morphine milligram equivalent (MME). Opioid prescribers were orthopaedic surgeons, general practitioners, rheumatologists, anaesthesiologists, and other physicians. Long-term use was defined as ≥1 opioid prescription for >90 postoperative days. We used linear and logistic regression analyses adjusted for confounders.

RESULTS

Seventy percent of 46 106 KAs and 51% of the 42 893 HAs were prescribed ≥1 opioid. Oxycodone increased as first prescribed opioid (from 44% to 85%) whereas tramadol decreased (64-11%), but their dosage remained stable (stronger opioids were preferred by prescribers). An increase in the first prescription of 1% MME resulted in a 0.43%/0.37% increase in total MME (KA/HA, respectively). A 100 MME increase in dose of the first dispensed opioid had a small effect on long-term use (prevalence: 25% KA, 20% HA) (odds ratio=1.02/1.01 for KA/HA, respectively). Orthopaedic surgeons increasingly prescribed the first prescription between 2013 and 2018 (44-69%). General practitioners mostly prescribed consecutive prescriptions (>50%).

CONCLUSION

Oxycodone increased as first out-of-hospital prescription between 2013 and 2018. The dose of the first prescribed opioid was associated with the total dose and a small increased risk of prolonged use. First prescriptions were mostly written by orthopaedic surgeons and consecutive prescriptions by general practitioners.

A National Strategy for Preventing Substance and Opioid Use Disorders Through Evidence-Based Prevention Programming that Fosters Healthy Outcomes in Our Youth

The recently released National Drug Control Strategy (2022) from the White House Office of National Drug Control Policy (ONDCP) lays out a comprehensive plan to, not only enhance access to treatment and increase harm reduction strategies, but also increase implementation of evidence-based prevention programming at the community level. Furthermore, the Strategy provides a framework for enhancing our national data systems to inform policy and to evaluate all components of the plan. However, not only are there several missing components to the Strategy that would assure its success, but there is a lack of structure to support a national comprehensive service delivery system that is informed by epidemiological data, and trains and credentials those delivering evidence-based prevention, treatment, and harm reduction/public health interventions within community settings. This paper provides recommendations for the establishment of such a structure with an emphasis on prevention. Systematically addressing conditions known to increase liability for behavioral problems among vulnerable populations and building supportive environments are strategies consistently found to avert trajectories away from substance use in general and substance use disorders (SUD) in particular. Investments in this approach are expected to result in significantly lower rates of SUD in current and subsequent generations of youth and, therefore, will reduce the burden on our communities in terms of lowered social and health systems involvement, treatment needs, and productivity. A national strategy, based on strong scientific evidence, is presented to implement public health policies and prevention services. These strategies work by improving child development, supporting families, enhancing school experiences, and cultivating positive environmental conditions.

Association of Household Opioid Availability With Opioid Overdose

IMPORTANCE

Previous studies that examined the role of household opioid prescriptions in opioid overdose risk were limited to commercial claims, did not include fatal overdoses, and had limited inclusion of household prescription characteristics. Broader research is needed to expand understanding of the risk of overdose.

OBJECTIVE

To assess the role of household opioid availability and other household prescription factors associated with individuals' odds of fatal or nonfatal opioid overdose.

DESIGN, SETTING, AND PARTICIPANTS

A retrospective cohort study assessing patient outcomes from January 1, 2015, through December 31, 2018, was conducted on adults in the Oregon Comprehensive Opioid Risk Registry database in households of at least 2 members. Data analysis was performed between October 16, 2020, and January 26, 2023.

EXPOSURES

Household opioid prescription availability and household prescription characteristics.

MAIN OUTCOMES AND MEASURES

Opioid overdoses were captured from insurance claims, death records, and hospital discharge data. Household opioid prescription availability and prescription characteristics for individuals and households were modeled as 6-month cumulative time-dependent measures, updated monthly. To assess the association between household prescription availability, household prescription characteristics, and overdose, multilevel logistic regression models were developed, adjusting for demographic, clinical, household, and prescription characteristics.

RESULTS

The sample included 1 691 856 individuals in 1 187 140 households, of which most were women (53.2%), White race (70.7%), living in metropolitan areas (75.8%), and having commercial insurance (51.8%), no Elixhauser comorbidities (69.5%), and no opioid prescription fills in the study period (57.0%). A total of 28 747 opioid overdose events were observed during the study period (0.0526 per 100 person-months). Relative to individuals without personal or household opioid fills, the odds of opioid-related overdose increased by 60% when another household member had an opioid fill in the past 6 months (adjusted odds ratio [aOR], 1.60; 95% CI, 1.54-1.66) and were highest when both the individual and another household member had opioid fills in the preceding 6 months (aOR, 6.25; 95% CI, 6.09-6.40).

CONCLUSIONS AND RELEVANCE

In this cohort study of adult Oregon residents in households of at least 2 members, the findings suggest that household prescription availability is associated with increased odds of opioid overdose for others in the household, even if they do not have their own opioid prescription. These findings underscore the importance of educating patients about proper opioid disposal and the risks of household opioids.

Real-World Observational Evaluation of Common Interventions to Reduce Emergency Department Prescribing of Opioid Medications

BACKGROUND

Prior work on opioid prescribing has examined dosing defaults, interruptive alerts, or "harder" stops such as electronic prescribing of controlled substances (EPCS), which has become increasingly required by state policy. Given that real-world opioid stewardship policies are concurrent and overlapping, the authors examined the effect of such policies on emergency department (ED) opioid prescriptions.

METHODS

The researchers performed observational analysis of all ED visits discharged between December 17, 2016, and December 31, 2019, across seven EDs of a hospital system. Four interventions were examined in chronological order, with each successive intervention added on top of all previous interventions: 12-pill prescription default, EPCS, electronic health record (EHR) pop-up alert, and 8-pill prescription default. The primary outcome was opioid prescribing, which was described as number of opioid prescriptions per 100 discharged ED visits and modeled as a binary outcome for each visit. Secondary outcomes included prescription morphine milligram equivalents (MME) and non-opioid analgesia prescriptions.

RESULTS

A total of 775,692 ED visits were included in the study. Compared to the preintervention period, cumulative reductions in opioid prescribing were seen with incremental interventions, including after adding a 12-pill default (odds ratio [OR] 0.88, 95% confidence interval [CI] 0.82-0.94), after adding EPCS (OR 0.7, 95% CI 0.63-0.77), after adding pop-up alerts (OR 0.67, 95% CI 0.63-0.71), and after adding an 8-pill default (OR 0.61, 95% CI 0.58-0.65).

CONCLUSION

EHR-implemented solutions such as EPCS, pop-up alerts, and pill defaults had varying but significant effects on reducing ED opioid prescribing. Policy makers and quality improvement leaders might achieve sustainable improvements in opioid stewardship while balancing clinician alert fatigue through policy efforts promoting implementation of EPCS and default dispense quantities.

Predictors of opioid-free discharge after laparoscopic cholecystectomy

BACKGROUND

Post-discharge opioid requirement after laparoscopic cholecystectomy (LC) is minimal, yet postoperative opioid prescriptions vary and opioid-free discharges are rare.

STUDY DESIGN

Adult patients who underwent LC from 01/2019-12/2019 were reviewed. Univariate and multivariable logistic regression analyses were performed to identify predictors of opioid-free discharge.

RESULTS

Of 393 included patients, 330 were discharged with opioids (median 12 oxycodone 5 mg pills) and 63 were discharged without opioids. One opioid-free discharge patient called for a prescription. Older age (OR = 1.02, 95% CI = 1.002-1.041) and non-elective procedure (OR = 0.35, 95% CI = 0.2291-0.8521) were independent predictors of opioid-free discharge.

CONCLUSION

Significant opportunities for opioid reduction or elimination after discharge from LC exist. Non-elective procedure and older age are predictors of opioid-free discharge, and should be considered when individualizing prescription quantities as surgeons strive to reduce or eliminate opioid overprescription.

Association of a Positive Drug Screening for Cannabis With Mortality and Hospital Visits Among Veterans Affairs Enrollees Prescribed Opioids

IMPORTANCE

Cannabis has been proposed as a therapeutic with potential opioid-sparing properties in chronic pain, and its use could theoretically be associated with decreased amounts of opioids used and decreased risk of mortality among individuals prescribed opioids.

OBJECTIVE

To examine the risks associated with cannabis use among adults prescribed opioid analgesic medications.

DESIGN, SETTING, AND PARTICIPANTS

This cohort study was conducted among individuals aged 18 years and older who had urine drug screening in 2014 to 2019 and received any prescription opioid in the prior 90 days or long-term opioid therapy (LTOT), defined as more than 84 days of the prior 90 days, through the Veterans Affairs health system. Data were analyzed from November 2020 through March 2022.

EXPOSURES

Biologically verified cannabis use from a urine drug screen.

MAIN OUTCOMES AND MEASURES

The main outcomes were 90-day and 180-day all-cause mortality. A composite outcome of all-cause emergency department (ED) visits, all-cause hospitalization, or all-cause mortality was a secondary outcome. Weights based on the propensity score were used to reduce confounding, and hazard ratios [HRs] were estimated using Cox proportional hazards regression models. Analyses were conducted among the overall sample of patients who received any prescription opioid in the prior 90 days and were repeated among those who received LTOT. Analyses were repeated among adults aged 65 years and older.

RESULTS

Among 297 620 adults treated with opioids, 30 514 individuals used cannabis (mean [SE] age, 57.8 [10.5] years; 28 784 [94.3%] men) and 267 106 adults did not (mean [SE] age, 62.3 [12.3] years; P < .001; 247 684 [92.7%] men; P < .001). Among all patients, cannabis use was not associated with increased all-cause mortality at 90 days (HR, 1.07; 95% CI, 0.92-1.22) or 180 days (HR, 1.00; 95% CI, 0.90-1.10) but was associated with an increased hazard of the composite outcome at 90 days (HR, 1.05; 95% CI, 1.01-1.07) and 180 days (HR, 1.04; 95% CI, 1.01-1.06). Among 181 096 adults receiving LTOT, cannabis use was not associated with increased risk of all-cause mortality at 90 or 180 days but was associated with an increased hazard of the composite outcome at 90 days (HR, 1.05; 95% CI, 1.02-1.09) and 180 days (HR, 1.05; 95% CI, 1.02-1.09). Among 77 791 adults aged 65 years and older receiving LTOT, cannabis use was associated with increased 90-day mortality (HR, 1.55; 95% CI, 1.17-2.04).

CONCLUSIONS AND RELEVANCE

This study found that cannabis use among adults receiving opioid analgesic medications was not associated with any change in mortality risk but was associated with a small increased risk of adverse outcomes and that short-term risks were higher among older adults receiving LTOT.

Opioid medication use and blood DNA methylation: epigenome-wide association meta-analysis

Aim: To identify differential methylation related to prescribed opioid use. Methods: This study examined whether blood DNA methylation, measured using Illumina arrays, differs by recent opioid medication use in four population-based cohorts. We meta-analyzed results (282 users; 10,560 nonusers) using inverse-variance weighting. Results: Differential methylation (false discovery rate <0.05) was observed at six CpGs annotated to the following genes: KIAA0226, CPLX2, TDRP, RNF38, TTC23 and GPR179. Integrative epigenomic analyses linked implicated loci to regulatory elements in blood and/or brain. Additionally, 74 CpGs were differentially methylated in males or females. Methylation at significant CpGs correlated with gene expression in blood and/or brain. Conclusion: This study identified DNA methylation related to opioid medication use in general populations. The results could inform the development of blood methylation biomarkers of opioid use.

Real-world patterns of opioid therapy initiation in Spain, 2012-2018: A population-based, retrospective cohort study with 957,080 patients and 1,509,488 initiations

Introduction: Europe has seen a steady increase in the use of prescription opioids, especially in non-cancer indications. Epidemiological data on the patterns of use of opioids is required to optimize prescription. We aim to describe the patterns of opioid therapy initiation for non-cancer pain and characteristics of patients treated in a region with five million inhabitants in the period 2012 to 2018. Methods: Population-based retrospective cohort study of all adult patients initiating opioid therapy for non-cancer pain in the region of Valencia. We described patient characteristics at baseline and the characteristics of baseline and subsequent treatment initiation. We used multinominal regression models to identify individual factors associated with initiation. Results: A total of 957,080 patients initiated 1,509,488 opioid treatments (957,080 baseline initiations, 552,408 subsequent initiations). For baseline initiations, 738,749 were with tramadol (77.19%), 157,098 with codeine (16.41%) 58,436 (6.11%) with long-acting opioids, 1,518 (0.16%) with short-acting opioids and 1,279 (0.13%) with ultrafast drugs. When compared to tramadol, patients initiating with short-acting, long-acting and ultrafast opioids were more likely to be older and had more comorbidities, whereas initiators with codeine were more prone to be healthier and younger. Treatments lasting less than 7 days accounted for 41.82% of initiations, and 11.89% lasted more than 30 days. 19.55% of initiators with ultrafast fentanyl received more than 120 daily Morphine Milligram Equivalents (MME), and 16.12% of patients initiating with long-acting opioids were prescribed more than 90 daily MME (p < 0.001). Musculoskeletal indications accounted for 65.05% of opioid use. Overlap with benzodiazepines was observed in 24.73% of initiations, overlap with gabapentinoids was present in 11.04% of initiations with long-acting opioids and 28.39% of initiators with short-acting opioids used antipsychotics concomitantly. In subsequent initiations, 55.48% of treatments included three or more prescriptions (vs. 17.60% in baseline initiations) and risk of overlap was also increased. Conclusion: Opioids are initiated for a vast array of non-oncological indications, and, despite clinical guidelines, short-acting opioids are used marginally, and a significant number of patients is exposed to potentially high-risk patterns of initiation, such as treatments lasting more than 14 days, treatments surpassing 50 daily MMEs, initiating with long-acting opioids, or hazardous overlapping with other therapies.

Do buprenorphine doses and ratios matter in medication assisted treatment adherence?

Introduction

Buprenorphine (BUP), generally prescribed as buprenorphine/naloxone, is a key component of medication-assisted treatment (MAT) to manage opioid use disorder. Studies suggest higher doses of BUP increase treatment adherence. Routine urine drug screens (UDS) assist in monitoring MAT adherence via measurement of excreted BUP and its metabolite, norbuprenorphine (NBP). The clinical significance between BUP/NBP concentrations and their ratios for assessing adherence and substance use is not well-described.

Methods

We conducted a single-center, retrospective chart review of 195 clients age ≥18 years enrolled in a local MAT program from August 2017 to February 2021. Demographics, BUP doses, prescription history, and UDS results were collected. Participants were divided based on MAT adherence (<80% vs ≥80%) and median total daily dose (TDD) of BUP (≥16 mg vs <16 mg) in addition to pre- and post-COVID-19 cohorts.

Results

Median BUP/NBP urinary concentrations were significantly correlated with MAT adherence (P < .0001 for each) and a reduced percentage of positive UDS for opioids (P = .0004 and P < .0001, respectively) but not their ratios. Median TDD of BUP ≥16 mg (n = 126) vs <16 mg (n = 68) was not correlated with MAT adherence (P = .107) or incidence of nonprescription use (P = .117). A significantly higher incidence of UDS positive for opiates (P = .049) and alcohol (P = .035) was observed post-COVID-19.

Discussion

Clients appearing adherent to MAT who had higher concentrations of urinary BUP/NBP demonstrated a reduced incidence of opioid-positive UDS independent of the BUP dose prescribed. An increase in opioid- and alcohol-positive UDSs were observed during the COVID-19 pandemic.

The Massachusetts public health data warehouse and the opioid epidemic: A qualitative study of perceived strengths and limitations for advancing research

•

The Massachusetts Public Health Data Warehouse is a public health innovation.

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We assessed the utility of this big data resource for research on the opioid epidemic.

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Big data have many advantages and limitations for opioid epidemic research.

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Findings can help to maximize the advantages of big data and avoid inappropriate use.

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Lessons learned can aid other states to establish big data for public health.

Due to the opioid overdose epidemic, Massachusetts created a Public Health Data Warehouse, encompassing individually-linked administrative data on most of the population as provided by more than 20 systems. As others seek to assemble and mine big data on opioid use, there is a need to consider its research utility. To identify perceived strengths and limitations of administrative big data, we collected qualitative data in 2019 from 39 stakeholders with knowledge of the Massachusetts Public Health Data Warehouse. Perceived strengths included the ability to: (1) detect new and clinically significant relationships; (2) observe treatments and services across institutional boundaries, broadening understanding of risk and protective factors, treatment outcomes, and intervention effectiveness; (3) use geographic-specific lenses for community-level health; (4) conduct rigorous “real-world” research; and (5) generate impactful findings that legitimize the scope and impacts of the opioid epidemic and answer urgent questions. Limitations included: (1) oversimplified information and imprecise measures; (2) data access and analysis challenges; (3) static records and substantial lag times; and (4) blind spots that bias or confound results, mask upstream or root causes, and contribute to incomplete understanding. Using administrative big data to conduct research on the opioid epidemic offers advantages but also has limitations which, if unrecognized, may undermine its utility. Findings can help researchers to capitalize on the advantages of big data, and avoid inappropriate uses, and aid states that are assembling big data to guide public health practice and policy.

Clinical scoring algorithm for the prescription opioid misuse and abuse questionnaire (POMAQ)

OBJECTIVE

The Prescription Opioid Misuse and Abuse Questionnaire (POMAQ) was developed to identify prescription opioid misuse and abuse among patients with chronic pain. A clinical scoring algorithm was developed and refined to align with the patient experience.

METHODS

This study utilized data from the POMAQ validation study (3033-4, NCT02660606) conducted on a sample of patients with chronic pain living in the United States. The study was carried out in two phases. Two purposefully enriched patient samples, one for each phase, were created based on patient responses to select POMAQ items and the availability of urine and hair samples. Two clinical experts (SHS, SFB) reviewed patient data to classify prescription opioid use behavior. Classification differences were adjudicated by a third clinical expert (JTF). Comparisons were made between the final clinical classification determined by the experts and the proposed classification based on the POMAQ algorithm.

RESULTS

Sixty patients were included in Phase I (only POMAQ data) and 52 in Phase II (including POMAQ and ancillary sources [e.g. electronic medical records, urine toxicity screen]). Refinements were made to the POMAQ scoring algorithm following discussions with clinical experts to ensure it was clinically relevant. For both phases, classifications were reviewed and discussed to achieve maximal concordance of classifications across experts. The proposed scoring algorithm was then modified to maximize agreement with the expert interpretation of clinically relevant patient experiences.

CONCLUSION

The clinical scoring algorithm for the POMAQ was developed and refined to reflect clinically relevant patient behaviors identified by expert review. Future testing is needed to determine the sensitivity and specificity of this measure.

Opioid-related overdose and chronic use following an initial prescription of hydrocodone versus oxycodone

Background

Hydrocodone and oxycodone are prescribed commonly to treat pain. However, differences in risk of opioid-related adverse outcomes after an initial prescription are unknown.

This study aims to determine the risk of opioid-related adverse events, defined as either chronic use or opioid overdose, following a first prescription of hydrocodone or oxycodone to opioid naïve patients.

Methods

A retrospective analysis of multiple linked public health datasets in the state of Oregon. Adult patients ages 18 and older who a) received an initial prescription for oxycodone or hydrocodone between 2015–2017 and b) had no opioid prescriptions or opioid-related hospitalizations or emergency department visits in the year preceding the prescription were followed through the end of 2018. First-year chronic opioid use was defined as ≥6 opioid prescriptions (including index) and average ≤30 days uncovered between prescriptions. Fatal or non-fatal opioid overdose was indicated from insurance claims, hospital discharge data or vital records.

Results

After index prescription, 2.8% (n = 14,458) of individuals developed chronic use and 0.3% (n = 1,480) experienced overdose. After adjustment for patient and index prescription characteristics, patients receiving oxycodone had lower odds of developing chronic use relative to patients receiving hydrocodone (adjusted odds ratio = 0.95, 95% confidence interval (CI) 0.91–1.00) but a higher risk of overdose (adjusted hazard ratio (aHR) = 1.65, 95% CI 1.45–1.87). Oxycodone monotherapy appears to greatly increase the hazard of opioid overdose (aHR 2.18, 95% CI 1.86–2.57) compared with hydrocodone with acetaminophen. Oxycodone combined with acetaminophen also shows a significant increase (aHR 1.26, 95% CI 1.06–1.50), but not to the same extent.

Conclusions

Among previously opioid-naïve patients, the risk of developing chronic use was slightly higher with hydrocodone, whereas the risk of overdose was higher after oxycodone, in combination with acetaminophen or monotherapy. With a goal of reducing overdose-related deaths, hydrocodone may be the favorable agent.