Opioid medication discontinuation and risk of adverse opioid-related health care events

Public Perceptions of Opioid Use for Chronic Non-Cancer Pain

Background: Chronic non-cancer pain affects 20% of Americans. This is significantly impacted by the ongoing opioid crisis and reduced opioid dispensing. Public perceptions additionally shape pain management strategies. Purpose: This study explores public attitudes toward prescription opioids for chronic non-cancer pain. We aim to understand how public attitudes are influenced by the evolving opioid crisis and shifting opioid use patterns. Methods: In Michigan, 823 adults participated in a Qualtrics survey on attitudes toward nonmedical and medical prescription opioid use. Multivariable logistic regression was performed to identify factors associated with beliefs that doctors prescribe opioids for too long (Model 1) and chronic pain patients should transition to alternative treatments (Model 2). Results: About half (49.4%) of respondents believed doctors keep patients on prescription opioids for too long, while two-thirds (65.7%) agreed chronic pain patients should be tapered off medications. Knowing someone who misused opioids and perceptions of substance use (e.g. perceived risk of prescription opioid misuse, stigma toward chronic pain patients, perceived prevalence of prescription opioid misuse, and awareness of fentanyl) were associated with greater odds of believing doctors keep patients on opioids too long. Demographics (age and education), substance use histories and perceptions (e.g. perceived risk and stigma) were associated with greater odds of believing patients should be tapered off their medication. Conclusions: These findings inform strategies to correct public misperceptions, emphasizing the importance of personal experience, perceived risks, and stigmatization of chronic pain patients. This insight can guide effective pain management for those with chronic non-cancer pain.

Impact of overdose on health plan disenrollment among patients prescribed long-term opioids: Retrospective cohort study

CONTEXT

Health plan disenrollment may disrupt chronic or preventive care for patients prescribed long-term opioid therapy (LTOT).

PURPOSE

To assess whether overdose events in patients prescribed LTOT are associated with subsequent health plan disenrollment.

DESIGN

Retrospective cohort study.

SETTING AND DATASET

Data from the Optum Labs Data Warehouse which includes de-identified medical and pharmacy claims and enrollment records for commercial and Medicare Advantage enrollees. The database contains longitudinal health information on patients, representing a mixture of ages and geographical regions across the United States.

PATIENTS

Adults prescribed stable opioid therapy (≥10 morphine milligram equivalents/day) for a 6-month baseline period prior to an index opioid prescription from January 1, 2018 to December 31, 2018.

MAIN MEASURES

Health plan disenrollment during follow-up.

RESULTS

The cohort comprised 404,151 patients who were followed up after 800,250 baseline periods of stable opioid dosing. During a mean follow-up of 9.1 months, unadjusted disenrollment rates among primary commercial beneficiaries and Medicare Advantage enrollees were 37.2 and 13.9 per 100 person-years, respectively. Incident overdoses were associated with subsequent health plan disenrollment with a statistically significantly stronger association among primary commercial insurance beneficiaries [adjusted incidence rate ratio (aIRR) 1.48 (95% CI: 1.33-1.64)] as compared to Medicare Advantage enrollees [aIRR 1.15 (95% CI: 1.07-1.23)].

CONCLUSIONS

Among patients prescribed long-term opioids, overdose events were strongly associated with subsequent health plan disenrollment, especially among primary commercial insurance beneficiaries. These findings raise concerns about the social consequences of overdose, including potential health insurance loss, which may limit patient access to care at a time of heightened vulnerability.

Implementation of Opioid Safety Efforts: Influence of Academic Detailing on Adverse Outcomes Among Patients in the Veterans Health Administration

BACKGROUND

The Veterans Health Administration (VA) implemented academic detailing (AD) to support safer opioid prescribing and overdose prevention initiatives.

METHODS

Patient-level data were extracted monthly from VA's electronic health record to evaluate whether AD implementation was associated with changes in all-cause mortality, opioid poisoning inpatient admissions, and opioid poisoning emergency department (ED) visits in an observational cohort of patients with long-term opioid prescriptions (≥45-day supply of opioids 6 months prior to a given month with ≤15 days between prescriptions). A single-group interrupted time series analysis using segmented logistic regression for mortality and Poisson regression for counts of inpatient admissions and ED visits was used to identify whether the level and slope of these outcomes changed in response to AD implementation.

RESULTS

Among 955 376 unique patients (19 431 241 person-months), there were 53 369 deaths (29 025 pre-AD; 24 344 post-AD), 1927 opioid poisoning inpatient admissions (610 pre-AD; 1317 post-AD), and 408 opioid poisoning ED visits (207 pre-AD; 201 post-AD). Immediately after AD implementation, there was a 5.8% reduction in the odds of all-cause mortality (95% confidence interval [CI]: 0.897, 0.990). However, patients had a significantly increased incidence rate of inpatient admissions for opioid poisoning immediately after AD implementation (incidence rate ratio = 1.523; 95% CI: 1.118, 2.077). No significant differences in ED visits for opioid poisoning were observed.

CONCLUSIONS

AD was associated with decreased all-cause mortality but increased inpatient hospitalization for opioid poisoning among patients prescribed long-term opioids. Mechanisms via which AD's efforts influenced opioid-related outcomes should be explored.

Discontinuation of psychotropic medication: a synthesis of evidence across medication classes

Pharmacotherapy is an effective treatment modality across psychiatric disorders. Nevertheless, many patients discontinue their medication at some point. Evidence-based guidance for patients, clinicians, and policymakers on rational discontinuation strategies is vital to enable the best, personalized treatment for any given patient. Nonetheless, there is a scarcity of guidelines on discontinuation strategies. In this perspective, we therefore summarize and critically appraise the evidence on discontinuation of six major psychotropic medication classes: antidepressants, antipsychotics, benzodiazepines, mood stabilizers, opioids, and stimulants. For each medication class, a wide range of topics pertaining to each of the following questions are discussed: (1) Who can discontinue (e.g., what are risk factors for relapse?); (2) When to discontinue (e.g., after 1 year or several years of antidepressant use?); and (3) How to discontinue (e.g., what's the efficacy of dose reduction compared to full cessation and interventions to mitigate relapse risk?). We thus highlight how comparing the evidence across medication classes can identify knowledge gaps, which may pave the way for more integrated research on discontinuation.

Older Adult and Primary Care Practitioner Perspectives on Using, Prescribing, and Deprescribing Opioids for Chronic Pain

Importance

Guidelines recommend deprescribing opioids in older adults due to risk of adverse effects, yet little is known about patient-clinician opioid deprescribing conversations.

Objective

To understand the experiences of older adults and primary care practitioners (PCPs) with using opioids for chronic pain and discussing opioid deprescribing.

Design, Setting, and Participants

This qualitative study conducted semistructured individual qualitative interviews with 18 PCPs and 29 adults 65 years or older prescribed opioids between September 15, 2022, and April 26, 2023, at a Boston-based academic medical center. The PCPs were asked about their experiences prescribing and deprescribing opioids to older adults. Patients were asked about their experiences using and discussing opioid medications with PCPs.

Main Outcome and Measures

Shared and conflicting themes between patients and PCPs regarding perceptions of opioid prescribing and barriers to deprescribing.

Results

In total, 18 PCPs (12 [67%] younger that 50 years; 10 [56%] female; and 14 [78%] based at an academic practice) and 29 patients (mean [SD] age, 72 [5] years; 19 [66%] female) participated. Participants conveyed that conversations between PCPs and patients on opioid use for chronic pain were typically challenging and that conversations regarding opioid risks and deprescribing were uncommon. Three common themes related to experiences with opioids for chronic pain emerged in both patient and PCP interviews: opioids were used as a last resort, opioids were used to improve function and quality of life, and trust was vital in a clinician-patient relationship. Patients and PCPs expressed conflicting views on risks of opioids, with patients focusing on addiction and PCPs focusing on adverse drug events. Both groups felt deprescribing conversations were often unsuccessful but had conflicting views on barriers to successful conversations. Patients felt deprescribing was often unnecessary unless an adverse event occurred, and many patients had prior negative experiences tapering. The PCPs described gaps in knowledge on how to taper, a lack of clinical access to monitor patients during tapering, and concerns about patient resistance.

Conclusions and Relevance

In this qualitative study, PCPs and older adults receiving long-term opioid therapy viewed the use of opioids as a beneficial last resort for treating chronic pain but expressed dissonant views on the risks associated with opioids, which made deprescribing conversations challenging. Interventions, such as conversation aids, are needed to support collaborative discussion about deprescribing opioids.

Short- and long-term safety of discontinuing chronic opioid therapy among older adults with Alzheimer's disease and related dementia

BACKGROUND

Limited evidence exists on the short- and long-term safety of discontinuing versus continuing chronic opioid therapy (COT) among patients with Alzheimer's disease and related dementias (ADRD).

METHODS

This cohort study was conducted among 162,677 older residents with ADRD and receipt of COT using a 100% Medicare nursing home sample. Discontinuation of COT was defined as no opioid refills for ≥90 days. Primary outcomes were rates of pain-related hospitalisation, pain-related emergency department visit, injury, opioid use disorder (OUD) and opioid overdose (OD) measured by diagnosis codes at quarterly intervals during 1- and 2-year follow-ups. Poisson regression models were fit using generalised estimating equations with inverse probability of treatment weights to model quarterly outcome rates between residents who discontinued versus continued COT.

RESULTS

The study sample consisted of 218,040 resident episodes with COT; of these episodes, 180,916 residents (83%) continued COT, whereas 37,124 residents (17%) subsequently discontinued COT. Discontinuing (vs. continuing) COT was associated with higher rates of all outcomes in the first quarter, but these associations attenuated over time. The adjusted rates of injury, OUD and OD were 0, 69 and 60% lower at the 1-year follow-up and 11, 81 and 79% lower at the 2-year follow-up, respectively, for residents who discontinued versus continued COT, with no difference in the adjusted rates of pain-related hospitalisations or emergency department visits.

CONCLUSIONS

The rates of adverse outcomes were higher in the first quarter but lower or non-differential at 1-year and 2-year follow-ups between COT discontinuers versus continuers among older residents with ADRD.

Stimulant use and opioid-related harm in patients on long-term opioids for chronic pain

BACKGROUND

There is lack of clarity regarding the impact of and optimal clinical response to stimulant use among people prescribed long-term opioid therapy (LTOT) for pain.

OBJECTIVE

To determine if a positive urine drug test (UDT) for stimulants was associated with subsequent opioid-related harm or discontinuation of LTOT.

DESIGN

Retrospective cohort study.

PATIENTS

People living with and without HIV living in a major metropolitan area with public insurance, prescribed LTOT for chronic, non-cancer pain (n=600).

MAIN MEASURES

UDT results from January 2012 to June 2019 were evaluated against 1) opioid-related emergency department (ED) visits (oversedation, constipation, infections associated with injecting opioids, and opioid seeking) or death in each 90-day period following a UDT, using logistic regression, and 2) LTOT discontinuation.

RESULTS

There were no opioid overdose deaths within 90 days following a stimulant-positive UDT. A stimulant-positive UDT was not statistically significantly associated with opioid-related ED visits within 90 days (adjusted odds ratio [aOR] 1.39; 95% CI=0.88-2.21). Stimulant-positive UDT was independently associated with subsequent discontinuation of LTOT within 90 days (aOR 2.96; 95% CI=2.13 - 4.12). Living with HIV was independently associated with decreased odds of LTOT discontinuation (aOR 0.65; 95% CI 0.43 - 0.99).

CONCLUSIONS

Despite no association between a stimulant-positive UDT and subsequent opioid-related harm, there was an association with subsequent LTOT discontinuation, with heterogeneity across clinical groups. Detection of stimulant use should result in a discussion of substance use and risk, rather than reflex LTOT discontinuation.

Patient Motivation to Reduce or Discontinue Opioids for Chronic Pain: Self-efficacy, Barriers, and Readiness to Change

OBJECTIVES

This study aimed to assess levels and predictors of self-efficacy and motivation to change opioid use among a community sample of patients using opioids for chronic pain, as well as patient-reported barriers to pursuing opioid discontinuation.

METHODS

Participants with a variety of chronic pain conditions, recruited from ResearchMatch.org , completed a battery of electronic, self-report questionnaires assessing demographic and medical characteristics, pain treatment history, and levels of readiness, self-efficacy, and other attitudes toward reducing or discontinuing opioid use. Multiple regression analyses and analyses of variance were conducted to examine predictors of readiness and self-efficacy to change opioid use. A modified version of rapid qualitative analysis was utilized to analyze themes in participant responses to an open-ended item about "what it would take" to consider opioid discontinuation.

RESULTS

The final sample included N=119 participants, the majority of whom were female (78.2%), Caucasian (77.3%), and well-educated. Readiness and self-efficacy to decrease or stop opioid use were fairly low on a 0 to 10 Visual Analog Scale (2.6 to 3.8) and significantly higher to decrease than stop ( P <0.01). Higher readiness to change was predicted by lower pain severity and higher concern about opioids, whereas higher self-efficacy was predicted by shorter pain duration. Results from the qualitative analyses revealed that the availability of an alternative treatment option was the most commonly cited requirement to consider opioid discontinuation.

DISCUSSION

Patients with lower pain severity, shorter duration of pain, and higher concerns about opioids may be a prime target from a motivation standpoint for interventions addressing opioid tapering and discontinuation.

Effectiveness of Long-Term Opioid Therapy for Chronic Pain in an Outpatient Palliative Medicine Clinic

Background: Despite widespread use of opioid therapy in outpatient palliative medicine, there is limited evidence supporting its efficacy and safety in the long term. Objectives: We sought to improve overdose risk scores, maintain pain reduction, and preserve patient function in a cohort with severe chronic pain as we managed opioid therapy for a duration of four years in an outpatient palliative care clinic. Design: Over four years, we provided ongoing goal-concordant outpatient palliative care, including opioid therapy, using quarterly clinical encounters for a patient cohort with chronic pain. Setting/Subjects: The project took place in the outpatient palliative medicine clinic of a regional cancer center in Orlando, Florida (United States). The subjects were a cohort group who received palliative care during the time period between July 2018 and October 2022. Measurements: Key metrics included treatment-related reduction in pain intensity, performance scores, and overall overdose risk scores. Secondary metrics included cohort demographics, average daily opioid use in morphine milligram equivalents and categorization of type of pain. Results: In 97 patients, we observed a stable mean treatment-related reduction in pain intensity of 4.9 out of 10 points over four years. The cohort showed a 2-point (out of 100) improvement in performance scores and an 81-point (out of 999) reduction in mean overall overdose risk score. Conclusions: We present evidence that providing outpatient palliative care longitudinally over four years offered lasting treatment-related reductions in pain intensity, preservation of performance status, and reduction in overall overdose risk.

An individual segmented trajectory approach for identifying opioid use patterns using longitudinal dispensing data

PURPOSE

The aim of this study is to use electronic opioid dispensing data to develop an individual segmented trajectory approach for identifying opioid use patterns. The resulting opioid use patterns can be used for examining the association between opioid use and drug overdose.

METHODS

We retrospectively assembled a cohort of members on long-term opioid therapy (LTOT) between January 1, 2006 and June 30, 2019 who were 18 years and older and enrolled in one of three health care systems in the US. We have developed an individual segmented trajectory analysis for identifying various opioid use patterns by scanning over the follow-up and finding distinct opioid use patterns based on variability measured with coefficient of variation and trends of milligram morphine equivalents levels.

RESULTS

Among 31, 865 members who were on LTOT between January 1, 2006 and June 30, 2019, 58.3% were female, and the average age was 55.4 years (STD = 15.4). The study population had 152 557 person-years of follow-up, with an average follow-up of 4.4 years per enrollment per person (STD = 3.4). This novel approach identified up to 13 distinct patterns including 88 756 episodes of "stable" pattern (42.1%) with an average follow-up of 11.2 months, 29 140 episodes of "increasing" pattern (13.8%) with an average follow-up of 6.0 months, 13 201 episodes of ≤10% dose reduction (6.3%) with an average follow-up of 10.4 months, 7286 episodes of 11%-20% dose reduction (3.5%) with an average follow-up of 5.3 months, 4457 episodes of 21%-30% dose reduction (2.1%) with an average follow-up of 4.0 months, and 9903 episodes of >30% dose reduction (4.7%) with an average follow-up of 2.6 months.

CONCLUSIONS

A novel approach was developed to identify 13 distinct opioid use patterns using each individual's longitudinal dispensing data and these patterns can be used in examining overdose risk during the time that these patterns are ongoing.

Context matters: using an Evidence to Decision (EtD) framework to develop and encourage uptake of opioid deprescribing guideline recommendations at the point-of-care

OBJECTIVES

To describe the development and use of an Evidence to Decision (EtD) framework when formulating recommendations for the Evidence-Based Clinical Practice Guideline for Deprescribing Opioid Analgesics.

STUDY DESIGN AND SETTING

Evidence was derived from an overview of systematic reviews and qualitative studies conducted with healthcare professionals and people who take opioids for pain. A multidisciplinary guideline development group conducted extensive EtD framework review and iterative refinement to ensure that guideline recommendations captured contextual factors relevant to the guideline target setting and audience.

RESULTS

The guideline development group considered and accounted for the complexities of opioid deprescribing at the individual and health system level, shaping recommendations and practice points to facilitate point-of-care use. Stakeholders exhibited diverse preferences, beliefs, and values. This variability, low certainty of evidence, and system-level policies and funding models impacted the strength of the generated recommendations, resulting in the formulation of four 'conditional' recommendations.

CONCLUSION

The context within which evidence-based recommendations are considered, as well as the political and health system environment, can contribute to the success of recommendation implementation. Use of an EtD framework allowed for the development of implementable recommendations relevant at the point-of-care through consideration of limitations of the evidence and relevant contextual factors.

Longitudinal dose patterns among patients newly initiated on long-term opioid therapy in the United States, 2018 to 2019: an observational cohort study and time-series cluster analysis

ABSTRACT

Opioid prescribing varies widely, and prescribed opioid dosages for an individual can fluctuate over time. Patterns in daily opioid dosage among patients prescribed long-term opioid therapy have not been previously examined. This study uses a novel application of time-series cluster analysis to characterize and visualize daily opioid dosage trajectories and associated demographic characteristics of patients newly initiated on long-term opioid therapy. We used 2018 to 2019 data from the IQVIA Longitudinal Prescription (LRx) all-payer pharmacy database, which covers 92% of retail pharmacy prescriptions dispensed in the United States. We identified a cohort of 277,967 patients newly initiated on long-term opioid therapy during 2018. Patients were stratified into 4 categories based on their mean daily dosage during a 90-day baseline period (<50, 50-89, 90-149, and ≥150 morphine milligram equivalent [MME]) and followed for a 270-day follow-up period. Time-series cluster analysis identified 2 clusters for each of the 3 baseline dosage categories <150 MME and 3 clusters for the baseline dosage category ≥150 MME. One cluster in each baseline dosage category comprised opioid dosage trajectories with decreases in dosage at the end of the follow-up period (80.7%, 98.7%, 98.7%, and 99.0%, respectively), discontinuation (58.5%, 80.0%, 79.3%, and 81.7%, respectively), and rapid tapering (50.8%, 85.8%, 87.5%, and 92.9%, respectively). These findings indicate multiple clusters of patients newly initiated on long-term opioid therapy who experience discontinuation and rapid tapering and highlight potential areas for clinician training to advance evidence-based guideline-concordant opioid prescribing, including strategies to minimize sudden dosage changes, discontinuation, or rapid tapering, and the importance of shared decision-making.

Benzodiazepine Discontinuation and Mortality Among Patients Receiving Long-Term Benzodiazepine Therapy

Importance

There is interest in reducing long-term benzodiazepine prescribing given harms associated with use, but the cumulative risks or benefits of discontinuation are unknown.

Objective

To identify the association of benzodiazepine discontinuation with mortality and other adverse events among patients prescribed stable long-term benzodiazepine therapy, stratified by baseline opioid exposure.

Design, Setting, and Participants

This comparative effectiveness study with a trial emulation approach included data from a US commercial insurance database between January 1, 2013, and December 31, 2017. Eligible participants were adults with stable long-term benzodiazepine prescription treatment. Data were analyzed between December 2022 and November 2023.

Exposure

Benzodiazepine discontinuation, defined as no benzodiazepine prescription coverage for 31 consecutive days identified during a 6-month grace period after baseline.

Main Outcome and Measures

Mortality during 12 months of follow-up; secondary outcomes included nonfatal overdose, suicide attempt or self-inflicted injury, suicidal ideation, and emergency department use, identified in medical claims. Inverse probability weighting was used to adjust for baseline confounders that potentially affected treatment assignment and censoring due to death or disenrollment. Primary analysis used an intention-to-treat approach; a secondary per-protocol analysis estimated associations after accounting for nonadherence. Analyses were stratified by opioid use.

Results

The study included 213 011 (136 609 female [64.1%]; mean [SD] age, 62.2 [14.9] years; 2953 Asian [1.4%], 18 926 Black [8.9%], 22 734 Hispanic [10.7%], and 168 398 White [60.2%]) and 140 565 (91 811 female [65.3%]; mean [SD] age, 61.1 [13.2] years; 1319 Asian [0.9%], 15 945 Black [11.3%], 11 989 Hispanic [8.5%], and 111 312 White [79.2%]) patients with stable long-term benzodiazepine use without and with opioid exposure, respectively. Among the nonopioid exposed, the adjusted cumulative incidence of death after 1 year was 5.5% (95% CI, 5.4%-5.8%) for discontinuers, an absolute risk difference of 2.1 percentage points (95% CI, 1.9-2.3 percentage points) higher than for nondiscontinuers. The mortality risk was 1.6 (95% CI, 1.6-1.7) times that of nondiscontinuers. Among those with opioid exposure, the adjusted cumulative incidence of death was 6.3% (95% CI, 6.0%-6.6%) for discontinuers, an absolute risk difference of 2.4 percentage points (95% CI, 2.2-2.7 percentage points) higher than for nondiscontinuers and a mortality risk 1.6 (95% CI, 1.5-1.7) times that of nondiscontinuers. Cumulative incidence of secondary outcomes was also higher among discontinuers.

Conclusions and Relevance

This study identifies small absolute increases in risk of harms among patients with stable long-term prescription benzodiazepine treatment who appear to discontinue relative to continuing treatment, including those with and without recent prescription opioid exposure. Policy broadly promoting benzodiazepine discontinuation may have unintended risks.

Are opioids effective analgesics and is physiological opioid dependence benign? Revising current assumptions to effectively manage long-term opioid therapy and its deprescribing

A re-examination of clinical principles of long-term opioid therapy (LTOT) for chronic pain is long overdue amid the ongoing opioid crisis. Most patients on LTOT report ineffectiveness (poor pain control, function and health) but still find deprescribing challenging. Although prescribed as analgesics, opioids more likely provide pain relief primarily through reward system actions (enhanced relief and motivation) and placebo effect and less through antinociceptive effects. The unavoidable physiologic LTOT dependence can automatically lead to a paradoxical worsening of pain, disability and medical instability (maladaptive opioid dependence) without addiction due to allostatic opponent neuroadaptations involving reward/antireward and nociceptive/antinociceptive systems. This opioid-induced chronic pain syndrome (OICP) can persist/progress whether LTOT dose is maintained at the same level, increased, decreased or discontinued. Current conceptualization of LTOT as a straightforward long-term analgesic therapy appears incongruous in view of the complex mechanisms of opioid action, LTOT dependence and OICP. LTOT can be more appropriately conceptualized as therapeutic induction and maintenance of an adaptive LTOT dependence for functional improvement irrespective of analgesic benefits. Adaptive LTOT dependence should be ideally used for a limited time to achieve maximum functional recovery and deprescribed while maintaining functional gains. Patients on LTOT should be regularly re-evaluated to identify if maladaptive LTOT dependence with OICP has diminished any functional gains or leads to ineffectiveness. Ineffective LTOT (with maladaptive LTOT dependence) should be modified to make it safer and more effective. An adequately functional life without opioids is the ideal healthy long-term goal for both LTOT initiation and LTOT modification.

Impact of High Deductible Health Plans on U.S. Adults With Chronic Pain

INTRODUCTION

Chronic pain affects an estimated 20% of U.S. adults. Because high-deductible health plans have captured a growing share of the commercial insurance market, it is unknown how high-deductible health plans impact care for chronic pain.

METHODS

Using 2007-2017 claims data from a large national commercial insurer, statistical analyses conducted in 2022-2023 estimated changes in enrollee outcomes before and after their firm began offering a high-deductible health plan compared with changes in outcomes in a comparison group of enrollees at firms never offering a high-deductible health plan. The sample included 757,530 commercially insured adults aged 18-64 years with headache, low back pain, arthritis, neuropathic pain, or fibromyalgia. Outcomes, measured at the enrollee year level, included the probability of receiving any chronic pain treatment, nonpharmacologic pain treatment, and opioid and nonopioid prescriptions; the number of nonpharmacologic pain treatment days; number and days' supply of opioid and nonopioid prescriptions; and total annual spending and out-of-pocket spending.

RESULTS

High-deductible health plan offer was associated with a 1.2 percentage point reduction (95% CI= -1.8, -0.5) in the probability of any chronic pain treatment and an $11 increase (95% CI=$6, $15) in annual out-of-pocket spending on chronic pain treatments among those with any use, representing a 16% increase in average annual out-of-pocket spending over the pre-high deductible health plan offer annual average. Results were driven by changes in nonpharmacologic treatment use.

CONCLUSIONS

By reducing the use of nonpharmacologic chronic pain treatments and marginally increasing out-of-pocket costs among those using these services, high-deductible health plans may discourage more holistic, integrated approaches to caring for patients with chronic pain conditions.

Dose Changes for Long-term Opioid Patients Following a State Opioid Prescribing Policy

BACKGROUND

In 2018, Nevada implemented opioid prescribing legislation (AB474) to support the uptake of CDC pain care guidelines. We studied the law's association with doses over threshold levels of morphine milligram equivalents (MMEs) and with time to dose increases and decreases, among long-term opioid patients.

METHODS

A difference-in-difference study examined dosing changes across opioid prescription episodes (ie, prescriptions within 30 day and within the same dosing threshold). Patients with at least 120 days supply over 6 months in Nevada and Colorado Medicaid pharmacy claims were included. Using a logistic regression model, we compare the predicted probabilities that opioid episodes exceeded 50 MME before and after implementation of the law, in both states. Adjusted hazard ratios (aHR) from a gap time survival model estimated time to escalate above 50 MME among low-dose episodes (<50 MME), and time to de-escalate below 50 MME among high-dose episodes (≥50 MME).

RESULTS

Among 453,577 episodes (74,292 patients), the Nevada law was associated with a 2.9% reduction in prescriptions over 50 MME (95% CI: -3.5, -2.3) compared with Colorado. While the law was also associated with slower escalation (Nevada: aHR = 0.75; 95% CI: 0.72, 0.77, Colorado: aHR = 1.04; 95% CI: 1.01, 1.06), it was also associated with slower de-escalation (Nevada: aHR = 0.87; 95% CI: 0.84, 0.89, Colorado: aHR = 0.97; 95% CI: 0.96, 0.99).

CONCLUSIONS

Slower dose escalations, rather than faster dose de-escalation, likely explain post-law reductions in doses over 50 MME. Slower dose de-escalations may be due to longer days supply post-policy.

Impact of Mandated Case Review Policy on Opioid Discontinuation and Mortality Among High-Risk Long-Term Opioid Therapy Patients: The STORM Stepped-Wedge Cluster Randomized Controlled Trial

BACKGROUND

Although long-term opioid therapy (LTOT) has its own risks, opioid discontinuation could pose harm for high-risk Veterans Health Administration (VHA) patients receiving LTOT. There is limited information on the impact of a mandate requiring providers to perform case reviews on high-risk patients with an active opioid prescription (ie, mandated case review policy) on opioid discontinuation and mortality.

METHODS

Our study is a secondary data analysis of a 23-month stepped-wedge cluster randomized controlled trial between April 2018 and March 2020. The study included 10 685 LTOT patients with a predicted risk of a serious adverse event between the top 1% to 5% nationally who entered the risk range between 4/18/2018 and 11/9/2019. We examined whether the mandated case review policy had an impact on opioid discontinuation and mortality for the patients.

RESULTS

Among 10 685 LTOT patients (88.2% male; mean [SD] age, 61.1 [11.7] years), 29.1% experienced discontinuation and the mortality rate was 9.5%. Patients under mandated case review had a decreased risk of opioid discontinuation (average marginal effect [AME], -11.16 [95% CI, -15.30 to -7.01] percentage points) and all-cause mortality (AME, -3.31 [95% CI, -5.63 to -1.00] percentage points), relative to patients who were not under the mandate.

CONCLUSIONS

The VHA mandated case review policy was associated with lower probability of discontinuation and all-cause mortality for high-risk patients receiving LTOT. Interventions that maintain care engagement while optimizing pain management for high-risk patients may be beneficial for minimizing mortality and other risks associated with discontinuation.

Challenges of implementing safer supply programs in Canada during the COVID-19 pandemic: A qualitative analysis

BACKGROUND

Canada is experiencing an unprecedented drug toxicity crisis driven by a highly toxic unregulated drug supply contaminated with fentanyl, benzodiazepine, and other drugs. Safer supply pilot programs provide prescribed doses of pharmaceutical alternatives to individuals accessing the unregulated drug supply and have been implemented to prevent overdose and reduce related harms. Given the recent emergence of these pilot programs and the paucity of data on implementation challenges, we sought to document challenges in their initial implementation phase.

METHODS

We obtained organizational progress reports from Health Canada, submitted between 2020 and 2022 by 11 pilot programs located in British Columbia, Ontario, and New Brunswick. We analyzed the data using deductive and inductive approaches via thematic analysis. Analyses were informed by the consolidated framework for implementation research.

RESULTS

We obtained 45 progress reports from 11 pilot programs. Six centres were based in British Columbia, four in Ontario, and one in New Brunswick. Four overarching themes were identified regarding the challenges faced during the establishment and implementation of pilot programs: i) Organizational features (e.g., physical space constraints, staff shortages); ii) Outer contexts (e.g., limited operational funds and resources, structural inequities to access, public perceptions); iii) Intervention characteristics (e.g., clients' unmet medication needs); and iv) Implementation process (e.g., pandemic-related challenges, overly medicalized and high-barrier safer supply models).

CONCLUSIONS

Safer supply pilot programs in Canada face multiple inner and outer implementation challenges. Given the potential role of safer supply programs in addressing the drug toxicity crisis in Canada and the possibility of future scale-up, services should be well-supported during their implementation phases. Refining service provision within safer supply programs based on the feedback and experiences of clients and program administrators is warranted, along with efforts to ensure that appropriate medications are available to meet the clients' needs.

Influence of patient trust in provider and health literacy on receipt of guideline-concordant chronic opioid therapy in HIV care settings

OBJECTIVE

Persons with HIV (PWH) frequently receive opioids for pain. Health literacy and trust in provider may impact patient-provider communication, and thus receipt of guideline-concordant opioid monitoring. We analyzed baseline data of HIV-positive patients on chronic opioid therapy (COT) in a trial to improve guideline-concordant COT in HIV clinics.

DESIGN

Retrospective cohort study.

SETTING

Two hospital-based safetynet HIV clinics in Boston and Atlanta.

PATIENTS AND PARTICIPANTS

A cohort of patients who were ≥18 years, HIV-positive, had received ≥ 3 opioid prescriptions from a study site ≥21 days apart within a 6-month period during the prior year and had ≥1 visit at the HIV clinic in the prior 18 months.

MAIN OUTCOME MEASURES

Adjusted logistic regression models examined whether health literacy and trust in provider (scale scored 11-55, higher indicates more trust) were associated with: (1) ≥ 2 urine drug tests (UDTs) and (2) presence of an opioid treatment agreement.

RESULTS

Among 166 PWH, mean trust in provider was 47.4 (SD 6.6); 117 (70 percent) had adequate health literacy. Fifty patients (30 percent) had ≥ 2 UDTs and 20 (12 percent) had a treatment agreement. The adjusted odds ratio (aOR) for a one-point increase in trust in provider was 0.97 for having ≥ 2 UDTs (95 percent CI 0.92-1.02) and 1.03 for opioid treatment agreement (95 percent CI 0.95-1.12). The aOR for adequate health literacy was 0.89 for having ≥ 2 UDTs (95 percent CI 0.42-1.88) and 1.66 for an opioid treatment agreement (95 percent CI 0.52-5.31).

CONCLUSIONS

Health literacy and trust in provider were not associated with chronic opioid therapy quality outcomes.

Mental health and substance use disorder comorbidities among Medicaid beneficiaries: Associations with opioid use disorder and prescription opioid misuse

Background

Medicaid presently insures about one-fourth of the US population and disproportionately insures about 38 % of non-elderly adults with an opioid use disorder (OUD). Owing to Medicaid's prominent role insuring persons with an OUD and that Medicaid coverage includes pharmaceutical benefits, there has been considerable interest in studying potential prescription opioid misuse among Medicaid beneficiaries and identifying subpopulations at higher risk for misuse and possible progression to an OUD.

Methods

The study goals were to explore the associations among prescription opioid misuse, OUD, and co-occurring mental health and other substance use disorders (SUD). We analyzed Illinois Medicaid 2018 claims data for 1102479 adult beneficiaries 18 to 64 years of age. Using algorithms based on previous studies, we first determined either the presence or absence of nine SUDS (including OUD), nine mental health disorders and likely prescription opioid misuse. Then, we subdivided the beneficiary sample into five groups: those who were prescribed opioids and evidenced either no, possible, or probable misuse; those evidencing an OUD; and those evidencing no opioid use or misuse.

Results

Bivariate analyses, upset plots, and multinomial logistic regressions were used to compare the five subgroups on the prevalence of co-occurring SUDS and mental health disorders. Those with an OUD or with probable prescription opioid misuse had the highest prevalence of most co-occurring conditions with beneficiaries with an OUD the most likely to evidence co-occurring SUDS, particularly tobacco use disorder, whereas those with probable misuse had elevated prevalence rates of co-occurring mental health disorders comparable to those with an OUD.

Conclusion

The medical complexity of persons with an OUD or misusing prescription opioids are considered in light of recent attempts to expand buprenorphine provision as a medication for OUD among Medicaid beneficiaries. Additionally, we consider the possibility of gender, co-occurring mental health disorders, and tobacco use disorder as important risk factors for progressing to prescription opioid misuse and an OUD.

Clinical practice guideline for deprescribing opioid analgesics: summary of recommendations

INTRODUCTION

Long term opioids are commonly prescribed to manage pain. Dose reduction or discontinuation (deprescribing) can be challenging, even when the potential harms of continuation outweigh the perceived benefits. The Evidence-based clinical practice guideline for deprescribing opioid analgesics was developed using robust guideline development processes and Grading of Recommendations, Assessment, Development and Evaluation (GRADE) methodology, and contains deprescribing recommendations for adults prescribed opioids for pain.

MAIN RECOMMENDATIONS

Eleven recommendations provide advice about when, how and for whom opioid deprescribing should be considered, while noting the need to consider each person's goals, values and preferences. The recommendations aim to achieve: implementation of a deprescribing plan at the point of opioid initiation; initiation of opioid deprescribing for persons with chronic non-cancer or chronic cancer-survivor pain if there is a lack of overall and clinically meaningful improvement in function, quality of life or pain, a lack of progress towards meeting agreed therapeutic goals, or the person is experiencing serious or intolerable opioid-related adverse effects; gradual and individualised deprescribing, with regular monitoring and review; consideration of opioid deprescribing for individuals at high risk of opioid-related harms; avoidance of opioid deprescribing for persons nearing the end of life unless clinically indicated; avoidance of opioid deprescribing for persons with a severe opioid use disorder, with the initiation of evidence-based care, such as medication-assisted treatment of opioid use disorder; and use of evidence-based co-interventions to facilitate deprescribing, including interdisciplinary, multidisciplinary or multimodal care.

CHANGES IN MANAGEMENT AS A RESULT OF THESE GUIDELINES

To our knowledge, these are the first evidence-based guidelines for opioid deprescribing. The recommendations intend to facilitate safe and effective deprescribing to improve the quality of care for persons taking opioids for pain.

Improving Access to Care for Patients Taking Opioids for Chronic Pain: Recommendations from a Modified Delphi Panel in Michigan

Purpose

About 5-8 million US patients take long-term opioid therapy for chronic pain. In the context of policies and guidelines instituted to reduce inappropriate opioid prescribing, abrupt discontinuations in opioid prescriptions have increased and many primary care clinics will not prescribe opioids for new patients, reducing access to care. This may result in uncontrolled pain and other negative outcomes, such as transition to illicit opioids. The objective of this study was to generate policy, intervention, and research recommendations to improve access to care for these patients.

Participants and Methods

We conducted a RAND/UCLA Modified Delphi, consisting of workshops, background videos and reading materials, and moderated web-based panel discussions held September 2020-January 2021. The panel consisted of 24 individuals from across Michigan, identified via expert nomination and snowball recruitment, including clinical providers, health science researchers, state-level policymakers and regulators, care coordination experts, patient advocates, payor representatives, and community and public health experts. The panel proposed intervention, policy, and research recommendations, scored the feasibility, impact, and importance of each on a 9-point scale, and ranked all recommendations by implementation priority.

Results

The panel produced 11 final recommendations across three themes: reimbursement reform, provider education, and reducing racial inequities in care. The 3 reimbursement-focused recommendations were highest ranked (theme average = 4.2/11), including the two top-ranked recommendations: increasing reimbursement for time needed to treat complex chronic pain (ranked #1/11) and bundling payment for multimodal pain care (#2/11). Four provider education recommendations ranked slightly lower (theme average = 6.2/11) and included clarifying the spectrum of opioid dependence and training providers on multimodal treatments. Four recommendations addressed racial inequities (theme average = 7.2/11), such as standardizing pain management protocols to reduce treatment disparities.

Conclusion

Panelists indicated reimbursement should incentivize traditionally lower-paying evidence-based pain care, but multiple strategies may be needed to meaningfully expand access.

Association Between Opioid Dose Reduction Rates and Overdose Among Patients Prescribed Long-Term Opioid Therapy

BACKGROUND

Tapering long-term opioid therapy is an increasingly common practice, yet rapid opioid dose reductions may increase the risk of overdose. The objective of this study was to compare overdose risk following opioid dose reduction rates of ≤10%, 11% to 20%, 21% to 30%, and >30% per month to stable dosing.

METHODS

We conducted a retrospective cohort study in three health systems in Colorado and Wisconsin. Participants were patients ≥18 years of age prescribed long-term opioid therapy between January 1, 2006, and June 30, 2019. Five opioid dosing patterns and drug overdoses (fatal and nonfatal) were identified using electronic health records, pharmacy records, and the National Death Index. Cox proportional hazard regression was conducted on a propensity score-weighted cohort to estimate adjusted hazard ratios (aHRs) for follow-up periods of 1, 3, 6, 9, and 12 months after a dose reduction.

RESULTS

In a cohort of 17 540 patients receiving long-term opioid therapy, 42.7% of patients experienced a dose reduction. Relative to stable dosing, a dose reduction rate of >30% was associated with an increased risk of overdose and the aHR estimates decreased as the follow-up increased; the aHRs for the 1-, 6- and 12-month follow-ups were 5.33 (95% CI, 1.98-14.34), 1.81 (95% CI,1.08-3.03), and 1.49 (95% CI, 0.97-2.27), respectively. The slower tapering rates were not associated with overdose risk.

CONCLUSIONS

Patients receiving long-term opioid therapy exposed to dose reduction rates of >30% per month had increased overdose risk relative to patients exposed to stable dosing. Results support the use of slow dose reductions to minimize the risk of overdose.

Spatiotemporal Analysis Exploring the Effect of Law Enforcement Drug Market Disruptions on Overdose, Indianapolis, Indiana, 2020-2021

Objectives. To test the hypothesis that law enforcement efforts to disrupt local drug markets by seizing opioids or stimulants are associated with increased spatiotemporal clustering of overdose events in the surrounding geographic area. Methods. We performed a retrospective (January 1, 2020 to December 31, 2021), population-based cohort study using administrative data from Marion County, Indiana. We compared frequency and characteristics of drug (i.e., opioids and stimulants) seizures with changes in fatal overdose, emergency medical services nonfatal overdose calls for service, and naloxone administration in the geographic area and time following the seizures. Results. Within 7, 14, and 21 days, opioid-related law enforcement drug seizures were significantly associated with increased spatiotemporal clustering of overdoses within radii of 100, 250, and 500 meters. For example, the observed number of fatal overdoses was two-fold higher than expected under the null distribution within 7 days and 500 meters following opioid-related seizures. To a lesser extent, stimulant-related drug seizures were associated with increased spatiotemporal clustering overdose. Conclusions. Supply-side enforcement interventions and drug policies should be further explored to determine whether they exacerbate an ongoing overdose epidemic and negatively affect the nation's life expectancy. (Am J Public Health. 2023;113(7):750-758. https://doi.org/10.2105/AJPH.2023.307291).

Predisposing, enabling and reinforcing factors associated with opioid addiction helping behaviour in tri-state Appalachian counties: application of the PRECEDE-PROCEED model-cross-sectional analysis

OBJECTIVES

The overdose epidemic was designated a 'Public Health Emergency' in the USA on 26 October 2017, bringing attention to the severity of this public health problem. The Appalachian region remains substantially impacted by the effects from years of overprescription of opioids, and subsequently opioid non-medical use and addiction. This study aims to examine the utility of the PRECEDE-PROCEED model constructs (ie, predisposing, reinforcing and enabling factors) to explain opioid addiction helping behaviour (ie, helping someone who has an opioid addiction) among members of the public living in tri-state Appalachian counties.

DESIGN

Cross-sectional study.

SETTING

Rural county in the Appalachian region of the USA.

PARTICIPANTS

A total of 213 participants from a retail mall in a rural Appalachian Kentucky county completed the survey. Most participants were between the ages of 18 and 30 years (n=68; 31.9%) and identified as men (n=139; 65.3%).

PRIMARY OUTCOME MEASURE

Opioid addiction helping behaviour.

RESULTS

The regression model was significant (F _{(6, 180)}=26.191, p<0.001) and explained 44.8% of the variance in opioid addiction helping behaviour (R²=0.448). Attitude towards helping someone with opioid addiction (B=0.335; p<0.001), behavioural skills (B=0.208; p=0.003), reinforcing factors (B=0.190; p=0.015) and enabling factors (B=0.195; p=0.009) were all significantly associated with opioid addiction helping behaviour.

CONCLUSIONS

PRECEDE-PROCEED model constructs have utility to explain opioid addiction helping behaviour among individuals in a region greatly impacted by the overdose epidemic. This study provides an empirically tested framework for future programmes addressing helping behaviour related to opioid non-medical use.

Buprenorphine and opioid analgesics: Dispensation and discontinuity among accidental overdose fatalities in the Indianapolis metropolitan area, 2016-2021

BACKGROUND

This study describes overall trends and sociodemographic disparities in buprenorphine and opioid analgesic uptake and prescribing patterns prior to fatal overdose events.

METHODS

We examined toxicology data from all accidental overdose deaths from 2016 to 2021 (N = 2682) in a large metropolitan area. These data were linked at the individual-level with a prescription drug monitoring program (PDMP).

RESULTS

Fewer than half of all deaths had any kind of PDMP record (39.9 %, n = 1070). Among those with a buprenorphine prescription, 10.6 % (n = 35) of decedents had a buprenorphine dispensation within 7 days of their death, while the majority (64.7 %, n = 214) were dispensed buprenorphine more than 30 days prior to death. Evidence existed of racial disparities among those with any buprenorphine uptake, whereby Black individuals (7.3 %, n = 24) had significantly fewer any dispensations compared to White individuals (92.7 %, n = 307). Among those with an opioid analgesic prescription, about 12.2 % (n = 90) were dispensed within 7 days of death, with the majority (68.5 %, n = 506) occurring more than 30 days prior to death. Like buprenorphine dispensations, Black individuals were prescribed a significantly smaller proportion of opioid analgesics (21.9 %, n = 162) versus White individuals (77.7 %, n = 574). Buprenorphine was detected in 78.5 % of deaths where fentanyl was present in the toxicology record, significantly greater when compared to opioid analgesics (57.5 %).

CONCLUSION

Consistent with prior research, our findings suggest prescription opioid analgesics may protect against fatal overdoses. Access to buprenorphine treatment did not keep pace with the rising lethality of the overdose crisis, and in recent years, a smaller percentage of the people at risk of fatal overdose availed themselves of MOUD preceding their death.

Opioid prescriptions after knee replacement: a retrospective study of pathways and prognostic factors in the Swiss healthcare setting

OBJECTIVES

The optimal use of opioids after knee replacement (KR) remains to be determined, given the growing evidence that opioids are no more effective than other analgesics and that their adverse effects can impair quality of life. Therefore, the objective is to examine opioid prescriptions after KR.

DESIGN

In this retrospective study, we used descriptive statistics and estimated the association of prognostic factors using generalised negative binomial models.

SETTING

The study is based on anonymised claims data of patients with mandatory health insurance at Helsana, a leading Swiss health insurance.

PARTICIPANTS

Overall, 9122 patients undergoing KR between 2015 and 2018 were identified.

PRIMARY AND SECONDARY OUTCOME MEASURES

Based on reimbursed bills, we calculated the dosage (morphine equivalent dose, MED) and the episode length (acute: <90 days; subacute: ≥90 to <120 days or <10 claims; chronic: ≥90 days and ≥10 claims or ≥120 days). The incidence rate ratios (IRRs) for postoperative opioids were calculated.

RESULTS

Of all patients, 3445 (37.8%) received opioids in the postoperative year. A large majority had acute episodes (3067, 89.0%), 2211 (65.0%) had peak MED levels above 100 mg/day and most patients received opioids in the first 10 postoperative weeks (2881, 31.6%). Increasing age (66-75 and >75 vs 18-65) was associated with decreased IRR (0.776 (95% CI 0.7 to 0.859); 0.723 (95% CI 0.649 to 0.805)), whereas preoperative non-opioid analgesics and opioids were associated with higher IRR (1.271 (95% CI 1.155 to 1.399); 3.977 (95% CI 4.409 to 3.591)).

CONCLUSION

The high opioid demand is unexpected given that current recommendations advise using opioids only when other pain therapies are ineffective. To ensure medication safety, it is important to consider alternative treatment options and ensure that benefits outweigh potential risks.

What are the research priorities for optimising the safe and effective use of opioids in Australian general practice?

INTRODUCTION

Persistent high rates of prescription opioid use and harms remain a concern in Australia, Europe and North America. Research priority setting can inform the research agenda, strategic responses and evidence-based interventions. The objective of this study was to establish research priorities related to the safe and effective use of prescription opioids in general practice.

METHODS

Consumers, clinicians and policy makers were invited to participate in a structured consensus workshop in May 2021. A modified nominal group technique was used to explore research priorities for the safe and effective use of opioids in Australian general practice. Research priorities were identified, consolidated and prioritised using a structured process.

RESULTS

Seventeen consumer, medical, pharmacy, nursing, allied health and policy participants generated 26 consolidated priorities across three domains: (i) consumer-focused priorities; (ii) clinician and practice-focused priorities; and (iii) system and policy-focused priorities. The highest ranked research priorities in each of the domains were consumer characteristics that influence opioid prescribing and outcomes, opioid deprescribing strategies, and system-level barriers to prescribing alternatives to opioids, in the consumer, clinician and practice, and system and policy domains, respectively.

DISCUSSION AND CONCLUSION

The priorities reflect opportunities for research priority setting within Australian general practice. The priorities provide a map for future qualitative and quantitative research that will inform safe and effective opioid prescribing.

Comparative Study of Opioid Initiation With Tramadol, Short-acting Hydrocodone, or Short-acting Oxycodone on Opioid-related Adverse Outcomes Among Chronic Noncancer Pain Patients

OBJECTIVE

To compare the safety profiles of low and high-dose tramadol, short-acting hydrocodone, and short-acting oxycodone therapies among chronic noncancer pain individuals.

MATERIALS AND METHODS

A retrospective cohort study of individuals with back/neck pain/osteoarthritis with an initial opioid prescription for tramadol, hydrocodone, or oxycodone was conducted using IQVIA PharMetrics Plus claims for Academics database (2006 to 2020). Two cohorts were created for separately studying opioid-related adverse events (overdoses, accidents, self-inflicted injuries, and violence-related injuries) and substance use disorders (opioid and nonopioid). Patients were followed from the index date until an outcome event, end of enrollment, or data end. Time-varying exposure groups were constructed and Cox regression models were estimated.

RESULTS

A total of 1,062,167 (tramadol [16.5%], hydrocodone [61.1%], and oxycodone [22.4%]) and 986,809 (tramadol [16.5%], hydrocodone [61.3%], and oxycodone [22.2%]) individuals were in the adverse event and substance use disorder cohorts. All high-dose groups had elevated risk of nearly all outcomes, compared with low-dose hydrocodone. Compared with low-dose hydrocodone, low-dose oxycodone was associated with a higher risk of opioid overdose (hazard ratio: 1.79 [1.37 to 2.33]). No difference in risk was observed between low-dose tramadol and low-dose hydrocodone (hazard ratio: 0.85 [0.64 to 1.13]). Low-dose oxycodone had higher risks of an opioid use disorder, and low-dose tramadol had a lower risk of accidents, self-inflicted injuries, and opioid use disorder compared with low-dose hydrocodone.

DISCUSSION

Low-dose oxycodone had a higher risk of opioid-related adverse outcomes compared with low-dose tramadol and hydrocodone. This should be interpreted in conjunction with the benefits of pain control and functioning associated with oxycodone use in future research.

Changes in Psychological Outcomes after Cessation of Full Mu Agonist Long-Term Opioid Therapy for Chronic Pain

Improved understanding of psychological features associated with full mu agonist long-term opioid therapy (LTOT) cessation may offer advantages for clinicians. This preliminary study presents changes in psychological outcomes in patients with chronic, non-cancer pain (CNCP) after LTOT cessation via a 10-week multidisciplinary program which included treatment with buprenorphine. Paired t-tests pre- and post-LTOT cessation were compared in this retrospective cohort review of data from electronic medical records of 98 patients who successfully ceased LTOT between the dates of October 2017 to December 2019. Indicators of quality of life, depression, catastrophizing, and fear avoidance, as measured by the 36-Item Short Form Survey, the Patient Health Questionnaire-9-Item Scale, the Pain Catastrophizing Scale, and the Fear Avoidance Belief Questionnaires revealed significant improvement. Scores did not significantly improve for daytime sleepiness, generalized anxiety, and kinesiophobia, as measured by the Epworth Sleepiness Scale, the Generalized Anxiety Disorder 7-Item Scale, and the Tampa Scale of Kinesiophobia. The results suggest that successful LTOT cessation may be interconnected with improvements in specific psychological states.

Population-Based Opioid Prescribing and Overdose Deaths in the USA: an Observational Study

BACKGROUND

Rising opioid-related death rates have prompted reductions of opioid prescribing, yet limited data exist on population-level associations between opioid prescribing and opioid-related deaths.

OBJECTIVE

To evaluate population-level associations between five opioid prescribing measures and opioid-related deaths.

DESIGN

An ecological panel analysis was performed using linear regression models with year and commuting zone fixed effects.

PARTICIPANTS

People ≥10 years aggregated into 886 commuting zones, which are geographic regions collectively comprising the entire USA.

MAIN MEASURES

Annual opioid prescriptions were measured with IQVIA Real World Longitudinal Prescription Data including 76.5% (2009) to 90.0% (2017) of US prescriptions. Prescription measures included opioid prescriptions per capita, percent of population with ≥1 opioid prescription, percent with high-dose prescription, percent with long-term prescription, and percent with opioid prescriptions from ≥3 prescribers. Outcomes were age- and sex-standardized associations of change in opioid prescriptions with change in deaths involving any opioids, synthetics other than methadone, heroin but not synthetics or methadone, and prescription opioids, but not other opioids.

KEY RESULTS

Change in total regional opioid-related deaths was positively correlated with change in regional opioid prescriptions per capita (β=.110, p<.001), percent with ≥1 opioid prescription (β=.100, p=.001), and percent with high-dose prescription (β=.081, p<.001). Change in total regional deaths involving prescription opioids was positively correlated with change in all five opioid prescribing measures. Conversely, change in total regional deaths involving synthetic opioids was negatively correlated with change in percent with long-term opioid prescriptions and percent with ≥3 prescribers, but not for persons ≥45 years. Change in total regional deaths in heroin was not associated with change in any prescription measure.

CONCLUSIONS

Regional decreases in opioid prescriptions were associated with declines in overdose deaths involving prescription opioids, but were also associated with increases in deaths involving synthetic opioids (primarily fentanyl). Individual-level inferences are limited by the ecological nature of the analysis.

Association Between Opioid Tapering and Subsequent Health Care Use, Medication Adherence, and Chronic Condition Control

Importance

Opioid tapering has been associated with negative consequences, such as increased overdoses and mental health needs. Tapering could also alter use of health care services and worsen care of comorbid conditions through disruption in primary care.

Objective

To evaluate tapering of stable long-term opioid therapy (LTOT) and subsequent health care service use and chronic condition care.

Design, Setting, and Participants

A retrospective cohort study was conducted from January 1, 2008, to December 31, 2019. Data analysis was performed from July 9, 2020, to December 9, 2022. Data from the Optum Labs Data Warehouse, which contains deidentified retrospective administrative claims data and linked electronic health record data for commercial and Medicare Advantage enrollees, were used. Adults aged 18 years or older prescribed stable doses of LTOT at 50 morphine milligram equivalents or more per day during a 12-month baseline period were included, including subcohorts with hypertension or diabetes.

Exposures

Opioid tapering, with 15% or more relative reduction in mean daily dose in 6 overlapping periods during 6 months.

Main Outcomes and Measures

Emergency department visits, hospitalizations, primary care and specialist visits, antihypertensive or antiglycemic medication adherence, and blood pressure and hemoglobin A1c levels during up to 12 months' follow-up. Covariates included sociodemographic characteristics, comorbidities, health care use, and chronic condition control.

Results

Among 113 604 patients (60 764 [53.5%] women; mean [SD] age, 58.1 [11.8] years) prescribed LTOT, 41 207 had hypertension and 23 335 had diabetes; in all cohorts, approximately half were women, and half were aged 50 to 65 years. In the overall cohort, tapering was associated with more emergency department visits (adjusted incidence rate ratio [aIRR], 1.19; 95% CI, 1.16-1.21) and hospitalizations (aIRR, 1.16; 95% CI, 1.12-1.20), with similar magnitude associations in the hypertension and diabetes subcohorts. Tapering was associated with fewer primary care visits in the overall cohort (aIRR, 0.95; 95% CI, 0.94-0.96) and hypertension subcohort (aIRR, 0.98; 95% CI, 0.97-0.99). For the hypertension or diabetes subcohorts, tapering was associated with reduced medication adherence (hypertension: aIRR, 0.60; 95% CI, 0.59-0.62; diabetes: aIRR, 0.69; 95% CI, 0.67-0.71) and small increases in diastolic blood pressure and hemoglobin A1c level.

Conclusions and Relevance

In this cohort study of patients prescribed LTOT, opioid tapering was associated with more emergency department visits and hospitalizations, fewer primary care visits, and reduced antihypertensive and antidiabetic medication adherence. These outcomes may represent unintended negative consequences of opioid tapering for policy makers and clinicians to consider.

Prescription of potentially addictive medications after a multilevel community intervention in general practice

OBJECTIVE

To evaluate the long-term effects of a multilevel community intervention to improve the quality of prescription practice of potentially addictive medications (PAMs).

DESIGN

We conducted a retrospective study, using anonymized data from the Norwegian prescription registry.

SETTING

Based on an initiative from the GPs in Molde Municipality in Norway, a multilevel community intervention was initiated by the municipal chief physician in 2018. The intervention targeted GPs, patients, and the public.

SUBJECTS

We retrieved prescription data from 26 of 36 GPs.

MAIN OUTCOME MEASURES

By using the standardized defined daily dose (DDD), we compared prescription of three groups of PAMs from before the intervention (2017) throughout the intervention in 2018, and through 2020 to determine long-term effects.

RESULTS

Three years after the intervention, the GPs in our study sample prescribed 26% less opioids, 38% less benzodiazepines, and 16% less z-hypnotics. Overall prescription of PAMs decreased by 27%. The number of individuals receiving at least 90 DDD of benzodiazepines and z-hypnotics were reduced from 9 to 7 and 34 to 24 per 1000, respectively. Also, the number of individuals receiving two and three PAMs concomitantly were reduced.

CONCLUSION

Addressing prescription practice among GPs in a community as a joint intervention, combined with addressing patients and the public may be a feasible method to obtain long-term reduction of PAM prescriptions.Key pointsNon-therapeutic prescriptions of potentially addictive medications (PAMs) are both a public health concern and a frequent challenge in general practice.A multilevel community intervention, targeting general practitioners, patients, and the public, led to 27% reduction in prescription of PAMs.Both the number of daily users and concomitant use of several PAMs were reduced.The reduction in prescription persisted for three years.

The United States must improve its data infrastructure to ensure high-quality mental health care

Use of and spending on mental health services in the United States more than doubled over the past two decades. In 2019, 19.2% of adults received mental health treatment (medications and/or counseling) at a cost of $135 billion. Yet, the United States has no data collection system to determine what proportion of the population benefited from treatment. Experts have for decades called for a learning behavioral health care system: a system that collects data on treatment services and outcomes to generate knowledge to improve practice. As the rates of suicide, depression, and drug overdoses in the United States continue to rise, the need for a learning health care system becomes even more pressing. In this paper, I suggest steps to move toward such a system. First, I describe the availability of data on mental health service use, mortality, symptoms, functioning, and quality of life. In the United States, the best sources of longitudinal information on mental health services received are Medicare, Medicaid, and private insurance claims and enrollment data. Federal and state agencies are starting to link these data to mortality information; however, these efforts need to be substantially expanded and include information on mental health symptoms, functioning, and quality of life. Finally, there must be greater efforts to make the data easier to access such as through standard data use agreements, online analytic tools, and data portals. Federal and state mental health policy leaders should be at the forefront of efforts to create a learning mental health care system.

Effect of a Veterans Health Administration mandate to case review patients with opioid prescriptions on mortality among patients with opioid use disorder: a secondary analysis of the STORM randomized control trial

AIMS

The Veterans Health Administration (VHA) implemented the Stratification Tool for Opioid Risk Mitigation (STORM) to reduce the risk of serious adverse events (SAE) among patients with opioid analgesic prescriptions. VHA facilities were mandated to case review patients identified as high risk by STORM. The aim of this study was to measure the effect of this mandate on all-cause mortality and SAEs among VHA patients newly diagnosed with opioid use disorder (OUD).

DESIGN

Secondary analysis of a stepped-wedged cluster randomized controlled trial conducted at all 140 VHA facilities, with facility as the unit of randomization, from 2018 to 2020.

SETTING AND PARTICIPANTS

United States VHA facilities were randomized to case review the top 1 or 5% of high-risk patients prescribed opioid analgesics identified by STORM. A total of 28 251 patients were diagnosed with OUD during the trial and were considered control or treatment depending on the status of the facility where they received their OUD diagnosis. Post-hoc analyses among patients who had at least one opioid analgesic prescription in the 90 days prior to diagnosis were conducted and were then stratified by receipt of a prescription in the 90 days following diagnosis to assess the sensitivity of results to opioid discontinuation.

MEASUREMENTS

All-cause mortality and opioid-related, drug-related, suicide-related and other SAEs within 90 days of OUD diagnosis.

FINDINGS

Mandated case review increased the odds of 90-day mortality [odds ratio (OR) = 1.74, 95% confidence interval (CI) = 1.06, 2.87], but did not significantly change the odds of SAEs. Among patients who received an opioid prescription prior to but not after OUD diagnosis, the odds of all-cause mortality within 90 days was 5.87 (95% CI = 1.85, 18.58) relative to control patients.

CONCLUSIONS

Veterans Health Administration patients newly diagnosed with opioid use disorder experienced increased all-cause mortality following expansion of a case review mandate for high-risk patients prescribed opioids.

Recent tapering from long-term opioid therapy and odds of opioid-related hospital use

PURPOSE

The number of patients tapered from long-term opioid therapy (LTOT) has increased in recent years in the United States. Some patients tapered from LTOT report improved quality of life, while others face increased risks of opioid-related hospital use. Research has not yet established how the risk of opioid-related hospital use changes across LTOT dose and subsequent tapering. Our objective was to examine associations between recent tapering from LTOT with odds of opioid-related hospital use.

METHODS

Case-crossover design using 2014-2018 health information exchange data from Indiana. We defined opioid-related hospital use as hospitalizations, and emergency department (ED) visits for a drug overdose, opioid abuse, and dependence. We defined tapering as a 15% or greater dose reduction following at least 3 months of continuous opioid therapy of 50 morphine milligram equivalents (MME)/day or more. We used conditional logistic regression to estimate odds ratios (OR) with 95% confidence intervals (CI).

RESULTS

Recent tapering from LTOT was associated with increased odds of opioid-related hospital use (OR: 1.50, 95%CI: 1.34-1.63), ED visit (OR: 1.52; 95%CI: 1.35-1.72), and inpatient hospitalization (OR: 1.40; 95%CI: 1.20-1.65). We found no evidence of heterogeneity of the effect of tapering on opioid-related hospital use by gender, age, and race. Recent tapering among patients on a high baseline dose (>300 MME) was associated with increased odds of opioid-related hospital use (OR: 2.95, 95% CI: 2.12-4.11, p < 0.001) compared to patients on a lower baseline doses.

CONCLUSIONS

Recent tapering from LTOT is associated with increased odds of opioid-related hospital use.

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.

Primary care management of Long-Term opioid therapy

The United States underwent massive expansion in opioid prescribing from 1990-2010, followed by opioid stewardship initiatives and reduced prescribing. Opioids are no longer considered first-line therapy for most chronic pain conditions and clinicians should first seek alternatives in most circumstances. Patients who have been treated with opioids long-term should be managed differently, sometimes even continued on opioids due to physiologic changes wrought by long-term opioid therapy and documented risks of discontinuation. When providing long-term opioid therapy, clinicians should document opioid stewardship measures, including assessments, consents, medication reconciliation, and offering naloxone, along with the rationale to continue opioid therapy. Clinicians should screen regularly for opioid use disorder and arrange for or directly provide treatment. In particular, buprenorphine can be highly useful for co-morbid pain and opioid use disorder. Addressing other substance use disorders, as well as preventive health related to substance use, should be a priority in patients with opioid use disorder. Patient-centered practices, such as shared decision-making and attending to related facets of a patient's life that influence health outcomes, should be implemented at all points of care.Key messagesAlthough opioids are no longer considered first-line therapy for most chronic pain, management of patients already taking long-term opioid therapy must be individualised.Documentation of opioid stewardship measures can help to organise opioid prescribing and protect clinicians from regulatory scrutiny.Management of resultant opioid use disorder should include provision of medications, most often buprenorphine, and several additional screening and preventive measures.

Discontinuation and tapering of prescribed opioids and risk of overdose among people on long-term opioid therapy for pain with and without opioid use disorder in British Columbia, Canada: A retrospective cohort study

BACKGROUND

The overdose crisis in North America has prompted system-level efforts to restrict opioid prescribing for chronic pain. However, little is known about how discontinuing or tapering prescribed opioids for chronic pain shapes overdose risk, including possible differential effects among people with and without concurrent opioid use disorder (OUD). We examined associations between discontinuation and tapering of prescribed opioids and risk of overdose among people on long-term opioid therapy for pain, stratified by diagnosed OUD and prescribed opioid agonist therapy (OAT) status.

METHODS AND FINDINGS

For this retrospective cohort study, we used a 20% random sample of residents in the provincial health insurance client roster in British Columbia (BC), Canada, contained in the BC Provincial Overdose Cohort. The study sample included persons aged 14 to 74 years on long-term opioid therapy for pain (≥90 days with ≥90% of days on therapy) between October 2014 and June 2018 (n = 14,037). At baseline, 7,256 (51.7%) persons were female, the median age was 55 years (quartile 1-3: 47-63), 227 (1.6%) persons had been diagnosed with OUD (in the past 3 years) and recently (i.e., in the past 90 days) been prescribed OAT, and 483 (3.4%) had been diagnosed with OUD but not recently prescribed OAT. The median follow-up duration per person was 3.7 years (quartile 1-3: 2.6-4.0). Marginal structural Cox regression with inverse probability of treatment weighting (IPTW) was used to estimate the effect of prescribed opioid treatment for pain status (discontinuation versus tapered therapy versus continued therapy [reference]) on risk of overdose (fatal or nonfatal), stratified by the following groups: people without diagnosed OUD, people with diagnosed OUD receiving OAT, and people with diagnosed OUD not receiving OAT. In marginal structural models with IPTW adjusted for a range of demographic, prescription, comorbidity, and social-structural exposures, discontinuing opioids (i.e., ≥7-day gap[s] in therapy) was associated with increased overdose risk among people without OUD (adjusted hazard ratio [AHR] = 1.44; 95% confidence interval [CI] 1.12, 1.83; p = 0.004), people with OUD not receiving OAT (AHR = 3.18; 95% CI 1.87, 5.40; p < 0.001), and people with OUD receiving OAT (AHR = 2.52; 95% CI 1.68, 3.78; p < 0.001). Opioid tapering (i.e., ≥2 sequential decreases of ≥5% in average daily morphine milligram equivalents) was associated with decreased overdose risk among people with OUD not receiving OAT (AHR = 0.31; 95% CI 0.14, 0.67; p = 0.003). The main study limitations are that the outcome measure did not capture overdose events that did not result in a healthcare encounter or death, medication dispensation may not reflect medication adherence, residual confounding may have influenced findings, and findings may not be generalizable to persons on opioid therapy in other settings.

CONCLUSIONS

Discontinuing prescribed opioids was associated with increased overdose risk, particularly among people with OUD. Prescribed opioid tapering was associated with reduced overdose risk among people with OUD not receiving OAT. These findings highlight the need to avoid abrupt discontinuation of opioids for pain. Enhanced guidance is needed to support prescribers in implementing opioid therapy tapering strategies with consideration of OUD and OAT status.

Development and pilot evaluation of an educational session to support sparing opioid prescriptions to opioid naïve patients in a Canadian primary care setting

BACKGROUND

Prescribing rates of some analgesics decreased during the public health crisis. Yet, up to a quarter of opioid-naïve persons prescribed opioids for noncancer pain develop prescription opioid use disorder. We, therefore, sought to evaluate a pilot educational session to support primary care-based sparing of opioid analgesics for noncancer pain among opioid-naïve patients in British Columbia (BC).

METHODS

Therapeutics Initiative in BC has launched an audit and feedback intervention. Individual prescribing portraits were mailed to opioid prescribers, followed by academic detailing webinars. The webinars' learning outcomes included defining the terms opioid naïve and opioid sparing, and educating attendees on the (lack of) evidence for opioid analgesics to treat noncancer pain. The primary outcome was change in knowledge measured by four multiple-choice questions at the outset and conclusion of the webinar.

RESULTS

Two hundred participants attended four webinars; 124 (62%) responded to the knowledge questions. Community-based primary care professionals (80/65%) from mostly urban settings (77/62%) self-identified as family physicians (46/37%), residents (22/18%), nurse practitioners (24/19%), and others (32/26%). Twelve participants (10%) recalled receiving the individualized portraits. While the correct identification of opioid naïve definitions increased by 23%, the correct identification of opioid sparing declined by 7%. Knowledge of the gaps in high-quality evidence supporting opioid analgesics and risk tools increased by 26% and 35%, respectively.

CONCLUSION

The educational session outlined in this pilot yielded mixed results but appeared acceptable to learners and may need further refinement to become a feasible way to train professionals to help tackle the current toxic drugs crisis.

CDC Clinical Practice Guideline for Prescribing Opioids for Pain - United States, 2022

This guideline provides recommendations for clinicians providing pain care, including those prescribing opioids, for outpatients aged ≥18 years. It updates the CDC Guideline for Prescribing Opioids for Chronic Pain - United States, 2016 (MMWR Recomm Rep 2016;65[No. RR-1]:1-49) and includes recommendations for managing acute (duration of <1 month), subacute (duration of 1-3 months), and chronic (duration of >3 months) pain. The recommendations do not apply to pain related to sickle cell disease or cancer or to patients receiving palliative or end-of-life care. The guideline addresses the following four areas: 1) determining whether or not to initiate opioids for pain, 2) selecting opioids and determining opioid dosages, 3) deciding duration of initial opioid prescription and conducting follow-up, and 4) assessing risk and addressing potential harms of opioid use. CDC developed the guideline using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) framework. Recommendations are based on systematic reviews of the scientific evidence and reflect considerations of benefits and harms, patient and clinician values and preferences, and resource allocation. CDC obtained input from the Board of Scientific Counselors of the National Center for Injury Prevention and Control (a federally chartered advisory committee), the public, and peer reviewers. CDC recommends that persons with pain receive appropriate pain treatment, with careful consideration of the benefits and risks of all treatment options in the context of the patient's circumstances. Recommendations should not be applied as inflexible standards of care across patient populations. This clinical practice guideline is intended to improve communication between clinicians and patients about the benefits and risks of pain treatments, including opioid therapy; improve the effectiveness and safety of pain treatment; mitigate pain; improve function and quality of life for patients with pain; and reduce risks associated with opioid pain therapy, including opioid use disorder, overdose, and death.

Endogenous opioid systems alterations in pain and opioid use disorder

Decades of research advances have established a central role for endogenous opioid systems in regulating reward processing, mood, motivation, learning and memory, gastrointestinal function, and pain relief. Endogenous opioid systems are present ubiquitously throughout the central and peripheral nervous system. They are composed of four families, namely the μ (MOPR), κ (KOPR), δ (DOPR), and nociceptin/orphanin FQ (NOPR) opioid receptors systems. These receptors signal through the action of their endogenous opioid peptides β-endorphins, dynorphins, enkephalins, and nociceptins, respectfully, to maintain homeostasis under normal physiological states. Due to their prominent role in pain regulation, exogenous opioids-primarily targeting the MOPR, have been historically used in medicine as analgesics, but their ability to produce euphoric effects also present high risks for abuse. The ability of pain and opioid use to perturb endogenous opioid system function, particularly within the central nervous system, may increase the likelihood of developing opioid use disorder (OUD). Today, the opioid crisis represents a major social, economic, and public health concern. In this review, we summarize the current state of the literature on the function, expression, pharmacology, and regulation of endogenous opioid systems in pain. Additionally, we discuss the adaptations in the endogenous opioid systems upon use of exogenous opioids which contribute to the development of OUD. Finally, we describe the intricate relationship between pain, endogenous opioid systems, and the proclivity for opioid misuse, as well as potential advances in generating safer and more efficient pain therapies.

Opioid Dose Trajectories and Associations With Mortality, Opioid Use Disorder, Continued Opioid Therapy, and Health Plan Disenrollment

IMPORTANCE

Uncertainty remains about the longer-term benefits and harms of different opioid management strategies, such as tapering and dose escalation. For instance, opioid tapering could help patients reduce opioid exposure to prevent opioid use disorder, but patients may also seek care elsewhere and engage in nonprescribed opioid use.

OBJECTIVE

To evaluate the association between opioid dose trajectories observed in practice and patient outcomes.

DESIGN, SETTING, AND PARTICIPANTS

This retrospective cohort study was conducted in 3 health systems in Colorado and Wisconsin. The study population included patients receiving long-term opioid therapy between 50 and 200 morphine milligram equivalents between August 1, 2014, and July 31, 2017. Follow-up ended on December 31, 2019. Data were analyzed from January 2020 to August 2022.

EXPOSURES

Group-based trajectory modeling identified 5 dosing trajectories over 1 year: 1 decreasing, 1 high-dose increasing, and 3 stable.

MAIN OUTCOMES AND MEASURES

Primary outcomes assessed after the trajectory period were 1-year all-cause mortality, incident opioid use disorder, continued opioid therapy at 1 year, and health plan disenrollment. Associations were tested using Cox proportional hazards regression and log-binomial models, adjusting for baseline covariates.

RESULTS

A total of 3913 patients (mean [SD] age, 59.2 [14.4] years; 2767 White non-Hispanic [70.7%]; 2237 female patients [57.2%]) were included in the study. Compared with stable trajectories, the decreasing dose trajectory was negatively associated with opioid use disorder (adjusted hazard ratio [aHR], 0.40; 95% CI, 0.29-0.55) and continued opioid therapy (site 1: adjusted relative risk [aRR], 0.39; 95% CI, 0.34-0.44), but was positively associated with health plan disenrollment (aHR, 1.66; 95% CI, 1.24-2.22). The decreasing trajectory was not associated with mortality (aHR, 1.28; 95% CI, 0.87-1.86). In contrast, the high-dose increasing trajectory was positively associated with mortality (aHR, 2.19; 95% CI, 1.44-3.32) and opioid use disorder (aHR, 1.81; 95% CI, 1.39-2.37) but was not associated with disenrollment (aHR, 0.90; 95% CI, 0.56-1.42) or continued opioid therapy (site 1: aRR, 0.98; 95% CI, 0.94-1.03).

CONCLUSIONS AND RELEVANCE

In this cohort study, decreasing opioid dose was associated with reduced risk of opioid use disorder and continued opioid therapy but increased risk of disenrollment compared with stable dosing, whereas the high-dose increasing trajectory was associated with an increased risk of mortality and opioid use disorder. These findings can inform opioid management decision-making.

Engagement in HIV care and viral suppression following changes in long-term opioid therapy for treatment for chronic pain

Chronic pain is common among persons living with HIV and changes in opioid prescribing practices may complicate HIV care management. Using medical record data from a retrospective cohort study conducted January 1, 2012 to June 30, 2019 for 300 publicly insured HIV-positive primary care patients prescribed opioids for chronic non-cancer pain in San Francisco, we examined associations between opioid dose changes and both time to disengagement from HIV care and experiencing virologic failure using logistic regression. Discontinuation of prescribed opioids was associated with increased odds of disengagement in care at 3, 6, and 9 months after discontinuation. There were no associations with virologic failure. Providers and policy makers must weigh impacts on HIV care when implementing necessary changes in opioid prescribing.

Association between opioid therapy trajectories and potential opioid-related adverse health events

PURPOSE

We identified associations between membership in seven group-based trajectories based on supply of filled opioid prescriptions and potential opioid-related adverse health events over a 720-day window.

METHODS

We identified two veteran cohorts with chronic non-cancer pain who initiated treatment with long-term opioid therapy between 2008 and 2015, excluding those with prior substance use disorder (n = 373 941) or non-SUD, opioid-related adverse outcome (n = 405 631) diagnoses. Outcomes of interest included opioid use disorder, non-opioid drug use disorder, and alcohol use disorder for the first cohort; or accidents resulting in wounds or injuries, self-inflicted injuries, opioid-related accidents and overdoses, alcohol and non-opioid drug-related accidents and overdoses, and violence-related injuries for the second cohort. Using a cross-sectional design, Veterans were followed until the specific outcome of interest was diagnosed, they died, the study ended, or they were lost to follow up. Accelerated failure time models were estimated for each outcome.

RESULTS

Membership in persistent moderate days covered and persistent modest days covered trajectories was associated with decreased risk of opioid use disorder (Moderate: θ = 0.59, 95%CI:0.54, 0.64; Modest: θ = 0.54, 95%CI:0.50, 0.59) and opioid overdose (Moderate: θ = 0.67,95%CI: 0.57, 0.79; Modest: θ = 0.72, 95%CI:0.61, 0.85) versus higher-utilizing persistent users. Rapid discontinuation was associated with decreased risk of opioid use disorder (θ = 0.86, 95% CI:0.77, 0.95) and opioid overdose (θ = 0.54, 95%CI:0.41, 0.71), but increased risk of alcohol use disorder (θ = 1.07, 95%CI:1.00, 1.15) and other substance use disorders. Delayed discontinuation or delayed reduction was associated with increased risk for most opioid related adverse health events.

CONCLUSION

Persistent use trajectories with low levels of opioid utilization were associated with lower risks of potential opioid-related adverse health events.

Comparative Effectiveness of Opioid Tapering or Abrupt Discontinuation vs No Dosage Change for Opioid Overdose or Suicide for Patients Receiving Stable Long-term Opioid Therapy

IMPORTANCE

Opioid dosage tapering has emerged as a strategy to reduce harms associated with long-term opioid therapy; however, evidence supporting this approach is limited.

OBJECTIVE

To identify the association of opioid tapering or abrupt discontinuation with opioid overdose and suicide events among patients receiving stable long-term opioid therapy without evidence of opioid misuse.

DESIGN, SETTING, AND PARTICIPANTS

This comparative effectiveness study with a trial emulation approach used a large US claims data set of individuals with commercial insurance or Medicare Advantage who were aged 18 years or older and receiving stable long-term opioid therapy without evidence of opioid misuse between January 1, 2010, and December 31, 2018. Statistical analysis was performed from January 17, 2020, through November 12, 2021.

INTERVENTIONS

Three opioid dosage strategies: stable dosage, tapering (dosage reduction ≥15%), or abrupt discontinuation.

MAIN OUTCOMES AND MEASURES

Time to opioid overdose or suicide event identified from International Classification of Diseases, Ninth Revision and International Statistical Classification of Diseases and Related Health Problems, Tenth Revision diagnosis codes in medical claims over 11 months of follow-up. Inverse probability weighting was used to adjust for baseline confounders. The primary analysis used an intention-to-treat approach; follow-up after assignment regardless of changes in opioid dose was included. A per-protocol analysis was also conducted, in which episodes were censored for lack of adherence to assigned treatment.

RESULTS

A cohort of 199 836 individuals (45.1% men; mean [SD] age, 56.9 [12.4] years; and 57.6% aged 45-64 years) had 415 123 qualifying, long-term opioid therapy episodes; 87.1% of episodes were considered stable, 11.1% were considered a taper, and 1.8% were considered abrupt discontinuation. The adjusted cumulative incidence of opioid overdose or suicide events 11 months after baseline was 0.96% (95% CI, 0.92%-0.99%) with a stable dosage strategy, 1.10% (95% CI, 0.99%-1.22%) with a tapered dosage strategy, and 1.28% (95% CI, 0.93%-1.38%) with an abrupt discontinuation strategy. The risk difference between a taper and a stable dosage was 0.15% (95% CI, 0.03%-0.26%), and the risk difference between abrupt discontinuation and a stable dosage was 0.33% (95% CI, -0.03% to 0.74%). Results were similar using the per-protocol approach.

CONCLUSIONS AND RELEVANCE

This study identified a small absolute increase in risk of harms associated with opioid tapering compared with a stable opioid dosage. These results do not suggest that policies of mandatory dosage tapering for individuals receiving a stable long-term opioid dosage without evidence of opioid misuse will reduce short-term harm via suicide and overdose.

Opioid tapering support using a web-based app: Development and protocol for a pilot randomized controlled trial

BACKGROUND

Given limited efficacy and potential harms of long-term opioid therapy, it is patient-centered and guideline-concordant to offer patients the opportunity to engage in a supportive, patient-centered tapering program. The goal of this study was to develop and pilot an interactive web-based program designed to support patients willing to consider an opioid taper; this manuscript describes the development and the protocol for a pilot randomized trial of Summit.

METHODS

We used intervention mapping to develop the Summit program; during the development period we engaged multiple stakeholder groups and conducted usability testing to refine the interactive, theory-informed, multi-component mobile website program which includes education, video testimonials, self-management skills, and access to a peer specialist. We will evaluate the Summit program in a two-arm, 9 month randomized-controlled trial where 64 individuals will be assigned either to the Summit program or to a control group (pain tracking app). As a pilot trial, the primary outcomes are feasibility and acceptability; we will also measure patient-reported outcomes related to pain, quality of life, and opioid use.

IMPLICATIONS

We developed an interactive program; results of the pilot trial are pending. If shown to be effective, Summit would be useful both in augmenting care for patients who are engaged in a taper with primary care.

Association Between Exposure to Complementary and Integrative Therapies and Opioid Analgesic Daily Dose Among Patients on Long-term Opioid Therapy

OBJECTIVES

To describe the association between exposure to selected complementary and integrative health (CIH) modalities and the trajectory of prescribed opioid analgesic dose within a national cohort of patients receiving long-term opioid therapy (LTOT) in the Veterans Health Administration (VHA).

MATERIALS AND METHODS

Using national data from VHA electronic health records between October 1, 2017 and September 30, 2019, CIH use was analyzed among 57,437 patients receiving LTOT within 18 VHA facilities serving as evaluation sites of VHA's Whole Health System of Care. Using linear mixed effects modeling controlling for covariates, opioid dose was modeled as a function of time, CIH exposure, and their interaction.

RESULTS

Overall, 11.91% of patients on LTOT used any of the focus CIH therapies; 43.25% of those had 4 or more encounters. Patients used acupuncture, chiropractic care, and meditation modalities primarily. CIH use was associated with being female, Black, having a mental health diagnosis, obesity, pain intensity, and baseline morphine-equivalent daily dose. Mean baseline morphine-equivalent daily dose was 40.81 milligrams and dose decreased on average over time. Controlling for covariates, patients with any CIH exposure experienced 38% faster dose tapering, corresponding to a mean difference in 12-month reduction over patients not engaging in CIH of 2.88 milligrams or 7.06% of the mean starting dose.

DISCUSSION

Results support the role of CIH modalities in opioid tapering. The study design precludes inference about the causal effects of CIH on tapering. Analyses did not consider the trend in opioid dose before cohort entry nor the use of other nonopioid treatments for pain. Future research should address these questions and consider tapering-associated adverse events.