Relationship between concomitant benzodiazepine-opioid use and adverse outcomes among US veterans

Pain Management Treatments and Opioid Use Disorder Risk in Medicaid Patients

INTRODUCTION

People with chronic pain are at increased risk of opioid misuse. Less is known about the unique risk conferred by each pain management treatment, as treatments are typically implemented together, confounding their independent effects. This study estimated the extent to which pain management treatments were associated with risk of opioid use disorder (OUD) for those with chronic pain, controlling for baseline demographic and clinical confounding variables and holding other pain management treatments at their observed levels.

METHODS

Data were analyzed in 2024 from 2 chronic pain subgroups within a cohort of non-pregnant Medicaid patients aged 35-64 years, 2016-2019, from 25 states: those with (1) chronic pain and physical disability (CPPD) (N=6,133) or (2) chronic pain without disability (CP) (N=67,438). Nine pain management treatments were considered: prescription opioid (1) dose and (2) duration; (3) number of opioid prescribers; opioid co-prescription with (4) benzo- diazepines, (5) muscle relaxants, and (6) gabapentinoids; (7) nonopioid pain prescription, (8) physical therapy, and (9) other pain treatment modality. The outcome was OUD risk.

RESULTS

Having opioids co-prescribed with gabapentin or benzodiazepine was statistically significantly associated with a 37-45% increased OUD risk for the CP subgroup. Opioid dose and duration also were significantly associated with increased OUD risk in this subgroup. Physical therapy was significantly associated with an 18% decreased risk of OUD in the CP subgroup.

CONCLUSIONS

Coprescription of opioids with either gabapentin or benzodiazepines may substantially increase OUD risk. More positively, physical therapy may be a relatively accessible and safe pain management strategy.

Independent and joint contributions of physical disability and chronic pain to incident opioid use disorder and opioid overdose among Medicaid patients

BACKGROUND

Chronic pain has been extensively explored as a risk factor for opioid misuse, resulting in increased focus on opioid prescribing practices for individuals with such conditions. Physical disability sometimes co-occurs with chronic pain but may also represent an independent risk factor for opioid misuse. However, previous research has not disentangled whether disability contributes to risk independent of chronic pain.

METHODS

Here, we estimate the independent and joint adjusted associations between having a physical disability and co-occurring chronic pain condition at time of Medicaid enrollment on subsequent 18-month risk of incident opioid use disorder (OUD) and non-fatal, unintentional opioid overdose among non-elderly, adult Medicaid beneficiaries (2016-2019).

RESULTS

We find robust evidence that having a physical disability approximately doubles the risk of incident OUD or opioid overdose, and physical disability co-occurring with chronic pain increases the risks approximately sixfold as compared to having neither chronic pain nor disability. In absolute numbers, those with neither a physical disability nor chronic pain condition have a 1.8% adjusted risk of incident OUD over 18 months of follow-up, those with physical disability alone have an 2.9% incident risk, those with chronic pain alone have a 3.6% incident risk, and those with co-occurring physical disability and chronic pain have a 11.1% incident risk.

CONCLUSIONS

These findings suggest that those with a physical disability should receive increased attention from the medical and healthcare communities to reduce their risk of opioid misuse and attendant negative outcomes.

Concordance of opioid exposure in all-payer claims databases with prescription drug monitoring program database using Arkansas as a case example

OBJECTIVE

To assess the concordance between and benefit of adding prescription drug monitoring program (PDMP) data to all-payer claims database (APCD) data for identifying and classifying opioid exposure among insured individuals.

DATA SOURCES AND STUDY SETTING

Arkansas APCD and PDMP.

STUDY DESIGN

Enrollees in APCD were classified as (1) true positives: if they received opioids in both databases, (2) false positives: if they only received opioids in APCD, (3) true negatives: if they had no opioid exposure in both databases, (4) false negatives: if they only received opioids in the PDMP database. Specificity, sensitivity, negative, and positive predictive values were calculated using PDMP as the "gold standard" database source. Subjects were also categorized as those who received any opioid, chronic opioid, high-dose opioid, or high-risk opioid therapies.

DATA COLLECTION/EXTRACTION METHODS

Arkansas residents continuously enrolled with pharmacy coverage in 2016 were included. APCD and PDMP were linked using an encrypted enrollee identifier, gender, and year of birth.

PRINCIPAL FINDINGS

The degree of concordance in opioid exposure between the two databases among 1,411,565 enrollees was high (sensitivity = 92.67%, specificity = 96.13%, positive predictive value = 91.60%, negative predictive value = 96.65%). Enrollees classified as having any opioid (APCD: 31.64% vs. PDMP: 31.26% vs. APCD+PDMP: 33.93%), chronic opioid (APCD: 7.81% vs. PDMP: 7.54% vs. APCD+PDMP: 8.24%), high-dose opioid (APCD: 10.60% vs. PDMP: 9.62% vs. APCD+PDMP: 11.33%), or high-risk opioid (APCD: 5.28% vs. PDMP: 5.33% vs. APCD+PDMP: 6.20%) therapies, were similar using only APCD versus PDMP versus the combined APCD and PDMP data sources.

CONCLUSIONS

Claims data sources, such as APCDs, are fairly accurate in identifying opioid exposure and the level of opioid exposure among persons with continuous pharmacy coverage.

Polypharmacy and Potentially Inappropriate Medication Use in Older Adults With Systemic Lupus Erythematosus

OBJECTIVE

To assess the prevalence and potential risk factors for polypharmacy and prescribing of the potentially inappropriate medications, opioids and benzodiazepines/Z-drugs, in older adults with systemic lupus erythematosus (SLE).

METHODS

The study population comprised adults age ≥50 years meeting American College of Rheumatology or Systemic Lupus International Collaborating Clinics classification criteria followed at a tertiary care rheumatology clinic. Information on prescriptions filled in the 4 months preceding chart review was obtained from the Manitoba Drug Program Information Network. Clinical data, including age, sex, Charlson Comorbidity Index (CCI) score, Systemic Lupus Erythematosus Disease Activity Index 2000 score, prednisone use, SLE duration, and rural residence were abstracted from electronic medical records. Logistic regression analyses were performed to assess any association between polypharmacy (using 2 definitions: ≥5 and ≥10 medications), potentially inappropriate medication use, and clinical features.

RESULTS

A total of 206 patients (mean age 62 years, 91% female, 36% rural) were included: 148 (72%) filled ≥5 medications, 71 (35%) filled ≥10 medications, 63 (31%) used benzodiazepines/Z-drugs, and 50 (24%) used opioids. Among the 77 patients age ≥65 years, 57 (74%) filled ≥5 medications, and 26 (34%) filled ≥10 medications, compared to 30% and 4%, respectively, of Manitobans age ≥65 years (National Prescription Drug Utilization Information System, 2016). The odds of polypharmacy were greater with prednisone use (adjusted odds ratio [OR] 3.70 [95% confidence interval (95% CI) 1.40-9.79] for ≥5 medications), CCI score (adjusted OR 1.62 [95% CI 1.20-2.17]), and rural residence (adjusted OR 2.05 [95% CI 1.01-4.18]). Odds of benzodiazepine/Z-drug use were increased with polypharmacy (adjusted OR 4.35 [95% CI 1.69-11.22]), and odds of opioid use were increased with polypharmacy (adjusted OR 6.75 [95% CI 1.93-23.69]) and CCI score (adjusted OR 1.29 [95% CI 1.08-1.54]).

CONCLUSION

The prevalence of polypharmacy in this SLE cohort was higher than in the general Manitoban population. Polypharmacy is a strong marker for use of prescription benzodiazepines/Z-drugs and opioids.

Naloxone Prescribing Associated With Reduced Emergency Department Visits in the Military Health System

PURPOSE

The aim was to determine the association between the receipt of naloxone and emergency department (ED) visits within 60 days after the receipt of an opioid.

METHODS

A retrospective cohort of individuals 18 years of age or above, enrolled in TRICARE, and were dispensed an opioid at any time from January 1, 2019, through September 30, 2020 was identified within the United States Military Health System. Individuals receiving naloxone within 5 days of the opioid dispensing date were propensity score matched with individuals receiving opioids only. A logistic regression was used to estimate the odds of an ED visit in the 60-day follow-up period after the index opioid dispense event among those co-dispensed naloxone and those receiving opioids only.

RESULTS

Of the 2,136,717 individuals who received an opioid prescription during the study period, 800,071 (10.1%) met study inclusion criteria. Overall, 5096 (0.24%) of individuals who received an opioid prescription were co-dispensed naloxone. Following propensity score matching, those who received naloxone had a significantly lower odds of ED utilization in the 60 days after receiving an opioid prescription (odds ratio: 0.74, 95% CI: 0.68-0.80, P<0.001).

CONCLUSION

This study highlights the importance of expanding access to naloxone in order to reduce ED utilization. Future research is needed to examine additional outcomes related to naloxone receipt and develop programs that make naloxone prescribing a routine practice.

U.S. Military veterans and the opioid overdose crisis: a review of risk factors and prevention efforts

U.S. military veterans have been heavily impacted by the opioid overdose crisis, with drug overdose mortality rates increasing by 53% from 2010-2019. Risk for overdose among veterans is complex and influenced by ongoing interaction among physiological/biological, psychological, and socio-structural factors. A thorough understanding of opioid-related overdose among veterans, one that goes beyond simple pharmacological determinism, must examine the interplay of pain, pain treatment, and stress, as well as psychological and social experiences-before, during, and after military service. Comprehensive efforts to tackle the overdose crisis among veterans require interventions that address each of these dimensions. Promising interventions include widespread naloxone distribution and increased provision of low-threshold wrap-around services, including medications for opioid use disorder (MOUD) and holistic/complementary approaches. Interventions that are delivered by peers - individuals who share key experiential or sociodemographic characteristics with the population being served - may be ideally suited to address many of the barriers to opioid-related risk mitigation common among veterans. Community care models could be beneficial for the large proportion of veterans who are not connected to the Veterans Health Administration and for veterans who, for various reasons including mental health problems and the avoidance of stigma, are socially isolated or reluctant to use traditional substance use services. Interventions need to be tailored in such a way that they reach those more socially isolated veterans who may not have access to naloxone or the social support to help them in overdose situations. It is important to incorporate the perspectives and voices of veterans with lived experience of substance use into the design and implementation of new overdose prevention resources and strategies to meet the needs of this population. Key messagesU.S. military veterans have been heavily impacted by the opioid overdose crisis, with drug overdose mortality rates increasing by 53% from 2010-2019.The risks for overdose that veterans face need to be understood as resulting from an ongoing interaction among biological/physiological, psychological, and social/structural factors.Addressing drug overdose in the veteran population requires accessible and non-judgemental, low threshold, wraparound, and holistic solutions that recognise the complex aetiology of overdose risk for veterans.

An examination of correlates of simultaneous opioid and benzodiazepine use among patients in medication treatment for opioid use disorder in a small midwestern community

Background: Concurrent and/or simultaneous use of opioids and benzodiazepines has been associated with increased risk of accident and injury, as well as with co-occurring psychopathology. Objectives: The purpose of the present study was to explore potential correlates of simultaneous opioid and benzodiazepine use in a small community, including perceived risk, positive screens for psychiatric symptoms, and opioid-related consequences. Methods: A sample of 267 participants were recruited from a medication treatment provider that serves a small Midwestern community. Multinomial logistic regression was used to explore demographic and mental health correlates associated with self-reports of past-year simultaneous use. Zero-inflated Poisson regression was used to explore past-year consequences associated with reported simultaneous benzodiazepine and opioid use. Results: Intentional simultaneous use of opioids and benzodiazepines was associated with greater anxiety and depression symptoms, greater likelihood of a positive PTSD screen, and low self-perceived risk of simultaneous use. Individuals reporting opioid/benzodiazepine simultaneous use were also more likely to report opioid-related consequences. Conclusions: Results highlight the importance of assessing and treating simultaneous opioid/benzodiazepine co-use, as well as relevant comorbidities.

Latent trajectories of anxiety and depressive symptoms among adults in early treatment for nonmedical opioid use

BACKGROUND

Understanding the course of anxiety and depressive symptoms in early opioid use disorder (OUD) treatment may inform efforts to promote positive early treatment response and reduce treatment attrition.

METHODS

Persons in treatment for nonmedical opioid use were identified from 86 addiction treatment facilities. Growth mixture modeling was used to identify trajectories of anxiety and depression symptoms during the first month of treatment among individuals who screened positive for depression (N = 3016) and/or anxiety (N = 2779) at intake.

RESULTS

A three-class solution best fit the data for anxiety symptoms and included the following trajectories: (1) persistent moderate-to-severe anxiety symptoms, (2) remitting severe anxiety symptoms, and (3) persistent minimal-to-mild anxiety symptoms. Similarly, a three-class solution best fit the data for depressive symptoms and included trajectories characterized by (1) persistent moderate-to-severe depressive symptoms, (2) persistent moderate depressive symptoms, and (3) mild/remitting depressive symptoms. Persistent moderate-to-severe anxiety and depressive symptoms were predicted by female gender and heavy past-month benzodiazepine co-use.

LIMITATIONS

Fine grained-information about substance use was not collected. Results may not be generalizable to individuals receiving treatment outside of specialty addiction clinics.

CONCLUSIONS

Analysis of anxiety and depression symptom trajectories in early treatment suggest that a subset of individuals entering treatment for opioid use experienced persistent and significant anxiety and depressive symptoms, whereas others experience a remission of symptoms. Interventions designed to target individuals at the greatest risk, such as women and individuals reporting opioid/benzodiazepine co-use, may help improve mental health symptoms in early OUD treatment.

Trends in prescribing pattern of opioid and benzodiazepine substitutes among Medicare part D beneficiaries from 2013 to 2018: a retrospective study

OBJECTIVE

Opioid and benzodiazepine co-prescribing is associated with a substantial increase in opioid overdose deaths. In this study, we examine the prescribing trends of substitutes of opioids and benzodiazepines alone or in combination, compared with opioids and benzodiazepines.

DESIGN

Retrospective cohort study.

SETTING

Data were collected using a 20% national sample of Medicare beneficiaries from 2013 to 2018.

PARTICIPANTS

4.1-4.3 million enrollees each year from 2013 to 2018.

INTERVENTION

None.

PRIMARY OUTCOME

We employ a generalised linear mixed models to calculate ORs for opioid use, benzodiazepine or Z-drug (benzos/Z-drugs) use, opioid/benzos/Z-drugs 30-day use, gabapentinoid use and (selective serotonin reuptake inhibitors (SSRI) and serotonin norepinephrine reuptake inhibitors (SNRIs)) use, adjusted for the repeated measure of patient. We then created two models to calculate the ORs for each year and comparing to 2013.

RESULTS

Opioid and benzos/Z-drugs use decreased by 2018 (aOR 0.626; 95% CI 0.622 to 0.630) comparing to 2013. We demonstrate a 36.3% and 9.9% increase rate of gabapentinoid and SSRI/SNRI use, respectively. Furthermore, combined gabapentinoid and SSRI/SNRI use increased in 2018 (aOR 1.422; 95% CI 1.412 to 1.431).

CONCLUSION

Little is known about the prescribing pattern and trend of opioid and benzodiazepine alternatives as analgesics. There is a modest shift from prescribing opioid and benzos/Z-drugs (alone or in combination) towards prescribing non-opioid analgesics-gabapentinoids with and without non-benzos/Z-drugs that are indicated for anxiety. It is unclear if this trend towards opioid/benzos/Z-drugs alternatives is associated with fewer drug overdose death, better control of pain and comorbid anxiety, and improved quality of life.

Reward Deficiency Syndrome (RDS): A Cytoarchitectural Common Neurobiological Trait of All Addictions

Alcohol and other substance use disorders share comorbidity with other RDS disorders, i.e., a reduction in dopamine signaling within the reward pathway. RDS is a term that connects addictive, obsessive, compulsive, and impulsive behavioral disorders. An estimated 2 million individuals in the United States have opioid use disorder related to prescription opioids. It is estimated that the overall cost of the illegal and legally prescribed opioid crisis exceeds one trillion dollars. Opioid Replacement Therapy is the most common treatment for addictions and other RDS disorders. Even after repeated relapses, patients are repeatedly prescribed the same opioid replacement treatments. A recent JAMA report indicates that non-opioid treatments fare better than chronic opioid treatments. Research demonstrates that over 50 percent of all suicides are related to alcohol or other drug use. In addition to effective fellowship programs and spirituality acceptance, nutrigenomic therapies (e.g., KB220Z) optimize gene expression, rebalance neurotransmitters, and restore neurotransmitter functional connectivity. KB220Z was shown to increase functional connectivity across specific brain regions involved in dopaminergic function. KB220/Z significantly reduces RDS behavioral disorders and relapse in human DUI offenders. Taking a Genetic Addiction Risk Severity (GARS) test combined with a the KB220Z semi-customized nutrigenomic supplement effectively restores dopamine homeostasis (WC 199).

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Claims-based measures of prescription opioid utilization: A practical guide for researchers

BACKGROUND

Given the increased attention to the opioid epidemic and the role of inappropriate prescribing, there has been a marked increase in the number of studies using claims data to study opioid use and policies designed to curb misuse. Our objective is to review the medical literature for recent studies that use claims data to construct opioid use measures and to develop a guide for researchers using these measures.

METHODS

We searched for articles relating to opioid use measured in health insurance claims data using a defined set of search terms for the years 2014-2020. Original research articles based in the United States that used claims-based measures of opioid utilization were included and information on the study population and measures of any opioid use, quantity of opioid use, new opioid use, chronic opioid use, multiple providers, and overlapping prescriptions was abstracted.

RESULTS

A total of 164 articles met inclusion criteria. Any opioid use was the most commonly included measure, defined by 85 studies. This was followed by quantity of opioids (68 studies), chronic opioid use (53 studies), overlapping prescriptions (28 studies), and multiple providers (8 studies). Each measure contained multiple, distinct definitions with considerable variation in how each was operationalized.

CONCLUSIONS

Claims-based opioid utilization measures are commonly used in research, but definitions vary significantly from study to study. Researchers should carefully consider which opioid utilization measures and definitions are most appropriate for their study and recognize how different definitions may influence study results.

Long-term Patterns of Self-reported Opioid Use, VACS Index, and Mortality Among People with HIV Engaged in Care

Longitudinal analyses of opioid use and overall disease severity among people with HIV (PWH) are lacking. We used joint-trajectory and Cox proportional hazard modeling to examine the relationship between self-reported opioid use and the Veterans Aging Cohort Study (VACS) Index 2.0, a validated measure of disease severity and mortality, among PWH engaged in care. Using data from 2002 and 2018, trajectory modeling classified 20% of 3658 PWH in low (i.e., lower risk of mortality), 40% in moderate, 28% in high, and 12% in extremely high VACS Index trajectories. Compared to those with moderate VACS Index trajectory, PWH with an extremely high trajectory were more likely to have high, then de-escalating opioid use (adjusted odds ratio [AOR], 95% confidence interval [CI] 5·17 [3·19-8·37]) versus stable, infrequent use. PWH who report high frequency opioid use have increased disease severity and mortality risk over time, even when frequency of opioid use de-escalates.

Hospitalizations for opioid-related overdose and timing of concurrent opioid and benzodiazepine use: A nested case-control study

BACKGROUND

Concurrent opioid and benzodiazepine (BZD) use is a prevalent high-risk prescribing behavior that increases the risk of opioid overdose. However, there is limited evidence on the relationship between timing of concurrent use and risk of opioid overdose.

OBJECTIVE

To evaluate the likelihood of opioid-related overdose across levels of duration, recency, and daily dose of concurrent use.

DESIGN

A nested case-control study was conducted using Truven MarketScan claims data (2009-2018).

PARTICIPANTS

Commercially insured adults (age 18-64 years old) with a new opioid dispensing in 2010-2018.

MAIN MEASURES

Cases of opioid-related overdose were identified based on hospitalization diagnosis codes. Controls were matched to cases in a 10:1 ratio by age, sex, opioid start date, and cancer history. Concurrent use was classified based on duration, timing, and daily dose of overlapping opioids and BZDs during 90 days before the event. Conditional logistic regression models were used to evaluate the relationship between concurrent use and opioid-related overdose.

KEY RESULTS

Among 11,137,866 dispensed a new opioid, a total of 3388 patients experienced opioid-related overdose and were matched to 33,893 controls. Cases and controls were 34 years old on average and 54% female. Patients with concurrent use were significantly more likely to have opioid-related overdose compared to patients receiving opioids, BZDs, or neither (OR 9.28; 95% CI 7.87, 10.93). Longer concurrent use of 1-7, 8-30, and 31-90 days was associated with 4.6, 12.1, and 26.7-fold higher likelihood of opioid-related overdose (p < 0.01). Patients with overlapping prescriptions during previous 0-30, 31-60, and 61-90 days were 13.2, 6.0, and 3.2-times more likely to experience an overdose (p < 0.01).

CONCLUSIONS

Patients with an opioid-related overdose were more likely to be prescribed concurrent opioid and BZD across all levels of duration, timing, and daily dose. Future policies and quality measures should be pursued to prevent concurrent use unless medically necessary.

Trajectories of Opioid Coverage After Long-Term Opioid Therapy Initiation Among a National Cohort of US Veterans

PURPOSE

The objective of this study was to identify the trajectories that patients take after initiating long-term opioid therapy (LTOT).

MATERIALS AND METHODS

Using a retrospective cohort design, veterans with chronic non-cancer pain (CNCP) initiating LTOT were identified. Group-based trajectory models were used to identify opioid therapy trajectories based on days of opioid supply (primary outcome) and average daily morphine milligram equivalent dose (AMME; secondary outcome) in each 180-day period following initiation of LTOT.

RESULTS

A total of 438,398 veterans with CNCP initiated LTOT. Nine trajectories were identified: 33.7% with persistent, high days covered, 17.7% with persistent, moderate days covered, 16.6% with slow, persistent days-covered reduction, 2.4% with days-covered reduction followed by increase, 4.6% with delayed days-covered reduction, 4.1% with rapid days-covered reduction, 10.9% with moderate-paced discontinuation, 3.4% with delayed discontinuation, and 6.5% with rapid discontinuation. Patients following discontinuation trajectories were more likely to be younger, persons of color, use more supportive services (eg, physical therapy), and received less opioid days' supply and lower doses prior to initiating LTOT as compared to patients following persistent opioid days-covered trajectories. AMME trajectories were similar to days-covered trajectories.

CONCLUSION

Among persons initiating LTOT, nine opioid trajectories emerged which can be broadly characterized into three main trajectory groups: persistent opioid therapy (2 trajectories), reductions in opioid therapy (4 trajectories), and discontinuation (3 trajectories). A majority of patients (51.4%) maintained persistent opioid therapy. Further research is needed to assess the risks of opioid-related adverse outcomes among the identified trajectories.

Opioid prescribing and health outcomes in opioid-naive patients: Analysis of a statewide health information exchange

BACKGROUND

Widespread use of prescription opioids is associated with adverse outcomes.

OBJECTIVE

To identify factors associated with adverse health outcomes and health care use using a statewide health information exchange.

METHODS

This is a retrospective cohort study using the Indiana Network for Patient Care. Adult opioid-naive patients who received an opioid prescription between January 2012 and December 2017 were included. The outcomes included (1) a composite outcome of any combination of opioid abuse, dependence, or overdose, (2) all-cause mortality, and (3) health care use. Independent variables included opioid dosage, dispensed amount, days supply, concurrent use of short-acting (SA) and long-acting (LA) opioids, and concurrent use with benzodiazepine or gabapentinoids. Additional variables included patients' age, sex, race, modified Charlson Comorbidity Index score, mental health conditions, and medications for opioid use disorders. Factors associated with composite outcome and mortality were identified using Cox proportional hazards and reported as adjusted hazard ratio (aHR) and 95% CI. Factors associated with health care use were identified using Poisson regression and reported as adjusted incidence rate ratio (aIRR) and 95% CI.

RESULTS

1,328,287 opioid prescriptions were identified for 341,722 patients. Opioid-related factors associated with the composite outcome, mortality, and hospitalizations, respectively, included opioid dosage (aHR 1.003 [95% CI 1.001-1.006]; aHR not applicable; aIRR 1.07 [1.06-1.08]), opioid days supply (aHR 1.03 [1.02-1.03]; aHR 1.009 [1.005-1.014]; aIRR 0.94 [0.92-0.96]), concurrent SA/LA opioids (aHR 2.12 [1.78-2.54]; aHR 1.40 [1.14-1.70]; aIRR 1.40 [1.37-1.42]), and use of benzodiazepines/gabapentinoids (aHR 1.68 [1.38-2.04]; aHR 1.23 [1.01-1.51]; aIRR 1.25 [1.23-1.27]).

CONCLUSION

Many factors are associated with poor health outcomes, especially concurrent use of SA and LA opioids and overlapping prescriptions of opioids with benzodiazepines or gabapentinoids. Identification of factors associated with adverse outcomes may help identify patients at risk for poor outcomes and could inform possible interventions.

Concurrent prescriptions for opioids and benzodiazepines and risk of opioid overdose: protocol for a retrospective cohort study using linked administrative data

INTRODUCTION

Opioid overdoses have increased substantially over the last 20 years, with over 400 000 deaths in North America. While opioid prescribing has been a target of research, benzodiazepine and opioid co-intoxication has emerged as a potential risk factor. Our aim was to assess the risk of opioid overdose associated with concurrent use of opioids and benzodiazepines relative to opioids alone.

METHODS AND ANALYSIS

A retrospective cohort study will be conducted using medical claims data from adult residents of Montréal, Canada. We will create a cohort of new users of opioids (ie, no opioid dispensations in prior year) in 2000-2014 from people with at least 2 years of continuous health insurance. Those with any diagnosis or hospitalisation for cancer or palliative care in the 2 years before their first opioid dispensation will be excluded. On each person-day of follow-up, exposure status will be classified into one of four mutually exclusive categories: (1) opioid-only, (2) benzodiazepine-only, (3) both opioid and benzodiazepine (concurrent use) or (4) neither. Opioid overdose will be measured using diagnostic codes documented in the hospital discharge abstract database, physician billing claims from emergency department visits and death records. Using a marginal structural Cox proportional hazards model, we will compare the hazard of overdose during intervals of concurrent opioid and benzodiazepine use to intervals of opioid use alone, adjusted for sociodemographics, medical and psychiatric comorbidities, and substance use disorders.

ETHICS AND DISSEMINATION

This study is approved by the McGill Faculty of Medicine Institutional Review Board and the Commission d'access à l'information (Québec privacy commission). Results will be relevant to clinicians, policymakers and other researchers interested in co-prescribing practices of opioids and benzodiazepines. Study findings will be disseminated at relevant conferences and published in biomedical and epidemiological peer-reviewed journals.

Toxicology Screening Testing in Patients Undergoing Spine Surgery: A Prospective Observational Pilot Study

BACKGROUND

Chronic opioid use and polypharmacy are commonly seen in chronic pain patients presenting for spine procedures. Substance abuse and misuse have also been reported in this patient population. Negative perioperative effects have been found in patients exposed to chronic opioid, alcohol, and recreational substances. Toxicology screening testing (TST) in the perioperative period provides useful information for adequate preoperative optimization and perioperative planning.

METHODS

We designed a pilot study to understand this population's preoperative habits including accuracy of self-report and TST-detected prescribed and unprescribed medications and recreational substances. We compared the results of the TST to the self-reported medications using Spearman correlations.

RESULTS

Inconsistencies between TST and self-report were found in 88% of patients. Spearman correlation was 0.509 between polypharmacy and intraoperative propofol use, suggesting that propofol requirement increased as the number of substances used increased.

CONCLUSIONS

TST in patients presenting for spine surgery is a useful tool to detect substances taken by patients because self-report is often inaccurate. Discrepancies decrease the opportunity for preoperative optimization and adequate perioperative preparation.

Multitargeting the sleep-pain interaction with pharmacological approaches: A narrative review with suggestions on new avenues of investigation

The multimorbidity formed by sleep disturbances and pain conditions is highly prevalent and has a significant impact in global health and in the socioeconomic system. Although different approaches have been directed toward its management, evidence regarding an optimal treatment is lacking, and pharmacological options are often preferred. Health professionals (e.g., pain and sleep clinicians) tend to focus on their respective expertise, targeting a single symptom with a single drug. This may increase polypharmacy and the risk of drug interactions, adverse events, and mortality. Hence, the use of medications that can directly or indirectly improve sleep, pain, and other possible accompanying conditions without exacerbating them becomes especially relevant. The objectives of this comprehensive review are to: a) describe the beneficial or deleterious effects that some commonly used medications to manage pain have on sleep and sleep disorders; and b) describe the beneficial or deleterious effects that frequently prescribed medications for sleep may have on pain. Moreover, medications targeting some specific sleep-pain interactions will be suggested and future directions for improving sleep and alleviating pain of these patients will be provided with clinical and research perspectives.

Higher Preimplantation Opioid Doses Associated With Long-Term Spinal Cord Stimulation Failure in 211 Patients With Failed Back Surgery Syndrome

Objective

Spinal cord stimulation (SCS) is an effective treatment in failed back surgery syndrome (FBSS). We studied the effect of preimplantation opioid use on SCS outcome and the effect of SCS on opioid use during a two‐year follow‐up period.

Materials and methods

The study cohort included 211 consecutive FBSS patients who underwent an SCS trial from January 1997 to March 2014. Participants were divided into groups, which were as follows: 1) SCS trial only (n = 47), 2) successful SCS (implanted and in use throughout the two‐year follow‐up period, n = 131), and 3) unsuccessful SCS (implanted but later explanted or revised due to inadequate pain relief, n = 29). Patients who underwent explantation for other reasons (n = 4) were excluded. Opioid purchase data from January 1995 to March 2016 were retrieved from national registries.

Results

Higher preimplantation opioid doses associated with unsuccessful SCS (ROC: AUC = 0.66, p = 0.009), with 35 morphine milligram equivalents (MME)/day as the optimal cutoff value. All opioids were discontinued in 23% of patients with successful SCS, but in none of the patients with unsuccessful SCS (p = 0.004). Strong opioids were discontinued in 39% of patients with successful SCS, but in none of the patients with unsuccessful SCS (p = 0.04). Mean opioid dose escalated from 18 ± 4 MME/day to 36 ± 6 MME/day with successful SCS and from 22 ± 8 MME/day to 82 ± 21 MME/day with unsuccessful SCS (p < 0.001).

Conclusions

Higher preimplantation opioid doses were associated with SCS failure, suggesting the need for opioid tapering before implantation. With continuous SCS therapy and no explantation or revision due to inadequate pain relief, 39% of FBSS patients discontinued strong opioids, and 23% discontinued all opioids. This indicates that SCS should be considered before detrimental dose escalation.

Initiation of Transdermal Fentanyl Among US Commercially Insured Patients Between 2007 and 2015

INTRODUCTION

This study examined patterns of initial transdermal fentanyl (TDF) claims among US commercially insured patients and explored the risk of 30-day hospitalization among patients with and without prior opioid exposure necessary to produce tolerance.

DESIGN

A retrospective cohort study of initial outpatient TDF prescriptions.

SETTING

A 10% random sample of commercially insured enrollees within the IQVIA Health Plan Claims Database (formerly known as PharMetrics Plus).

SUBJECTS

Individuals with a claim for TDF between 2007 and 2015.

METHODS

The primary exposure was a new transdermal fentanyl claim, and the primary outcome was guideline concordance based on time and dose exposure.

RESULTS

Among the 24,770 patients in the cohort, 4,848 (20%) patients had sufficient time exposure to opioids before TDF. Among those with sufficient time exposure, 3,971 (82%) had adequate opioid exposure based on the US Food and Drug Administration (FDA) package insert dosing guidance. Overall, 3,971 of the 24,770 (16%) patients received guideline-consistent TDF. An exploratory analysis of 30-day hospitalization after a TDF claim did not detect a difference in odds between guideline-consistent or -inconsistent groups when adjusted for variables known to influence the risk of opioid-induced respiratory depression.

CONCLUSIONS

A majority of patients met FDA opioid dose thresholds for TDF but had insufficient time exposure based on package insert recommendations for tolerance. Exploratory analysis did not detect a difference in odds for all-cause hospitalization or respiratory-related 30-day hospitalization between guideline-consistent or -inconsistent TDF claims. Prescribers should continue to adhere to FDA TDF labeling, although certain aspects of the labeling should be reevaluated or clarified.

Ensuring Patient Protections When Tapering Opioids: Consensus Panel Recommendations

Long-term opioid therapy has the potential for serious adverse outcomes and is often used in a vulnerable population. Because adverse effects or failure to maintain benefits is common with long-term use, opioid taper or discontinuation may be indicated in certain patients. Concerns about the adverse individual and population effects of opioids have led to numerous strategies aimed at reductions in prescribing. Although opioid reduction efforts have had generally beneficial effects, there have been unintended consequences. Abrupt reduction or discontinuation has been associated with harms that include serious withdrawal symptoms, psychological distress, self-medicating with illicit substances, uncontrolled pain, and suicide. Key questions remain about when and how to safely reduce or discontinue opioids in different patient populations. Thus, health care professionals who reduce or discontinue long-term opioid therapy require a clear understanding of the associated benefits and risks as well as guidance on the best practices for safe and effective opioid reduction. An interdisciplinary panel of pain clinicians and one patient advocate formulated recommendations on tapering methods and ongoing pain management in primary care with emphasis on patient-centered, integrated, comprehensive treatment models employing a biopsychosocial perspective.

Potentially inappropriate prescribing in older adults with advanced chronic kidney disease

Background

Older adults with chronic kidney disease (CKD) are at heightened risk for polypharmacy. We examined potentially inappropriate prescribing in this population and whether introducing pharmacists into the ambulatory kidney care model was associated with improved prescribing practices.

Methods

Retrospective cohort study using linked administrative databases. We included patients with an eGFR ≤30 mL/min/1.73 m² ≥66 years of age followed in multidisciplinary kidney clinics in Ontario, Canada (n = 25,016 from 28 centres). The primary outcome was the absence of a statin prescription or the receipt of a potentially inappropriate prescription defined by the American Geriatric Society Beers Criteria^® and a modified Delphi panel that identified key drugs of concern in CKD. We calculated the crude cumulative incidence and incidence rate for the primary outcome and used change-point regression to determine if a change occurred following pharmacist introduction.

Results

There were 6,007 (24%) and 16,497 patients (66%) not prescribed a statin and with ≥1 potentially inappropriate prescription, respectively. The rate of potentially inappropriate prescribing was 125.6 per 100 person-years and was higher in more recent years. The change-point regression analysis included 2,275 patients from two centres. No immediate change was detected at pharmacist introduction, but potentially inappropriate prescribing was increasing pre-pharmacist introduction, and this rising trend was reversed post-pharmacist introduction. The incidence of potentially inappropriate prescribing still remained high post-pharmacist introduction.

Conclusions

Potentially inappropriate prescribing practices were common. Incorporating pharmacists into the kidney care model may improve prescribing practices. The role of pharmacists in the ambulatory kidney care team warrants further investigation in a randomized controlled trial.

US national treatment admissions with opioids and benzodiazepines

INTRODUCTION AND AIMS

Opioids and benzodiazepines (O/BZD) are increasingly involved in drug overdose deaths in the USA. Expanding treatment capacity may reduce these deaths. Knowledge about co-occurring O/BZD admissions compared to opioid admissions (opioid) is needed to plan this expansion.

DESIGN AND METHODS

US treatment admissions to specialty facilities for 2011-2017 were analysed for trends and 2017 for group differences. Due to 1.9 million admissions in 2017, comparisons between O/BZD and opioid admissions were summarised as effect sizes. Additional analysis compared the administratively pre-coded category 'other opiates and synthetics' to other opiates and synthetics/benzodiazepines admissions to control for possible similarity in drug source. Differences within O/BZD admissions by primary drug were explored.

RESULTS

Although opioid admissions showed a steady increase over time (25.9% to 38.2%), O/BZD admissions showed increases until decline in 2017 (3.2% to 4.0%). In 2017 no factor reached moderate effect size (≥0.2) in group comparisons or within the O/BZD admissions. Heroin was self-reported in 70% of both O/BZD and opioid admissions.

DISCUSSION AND CONCLUSIONS

No meaningful US national differences on data routinely collected were found for O/BZD compared to opioid admissions including the subgroup with other opiates and synthetics only. Efforts to expand existing opioid treatment in specialty treatments may help reduce opioid and O/BZD deaths. However, the analysis could not address whether changes in treatment would improve outcomes.

Association between opioid analgesic plus benzodiazepine use and death: A case-crossover study

OBJECTIVE

We aimed to investigate whether concomitant use of benzodiazepines and opioids is associated with an increased risk of death in a population-based case-crossover setting.

METHODS

We conducted a case-crossover study using the National Sample Cohort database. We introduced a 30-day hazard period before the onset of death and three consecutive previous 30-day control periods with a 30-day washout period. The use of opioids and/or benzodiazepines during the hazard period was compared with that in the three control periods. We performed the conditional logistic regression analysis to estimate the adjusted odds ratios (aORs) and their 95% confidence intervals (CIs).

RESULTS

A total of 13,161 individuals who previously used benzodiazepines or opioids and died were included in the study. The risk of death was higher in patients with concomitant use of benzodiazepines and opioids (aOR, 1.86; 95% CI, 1.71-2.02) than in those who used either benzodiazepines or opioids only. In the subgroup analysis among concomitant users, the mortality risks were highest in patients aged less than 20 years (aOR, 3.85; 95% CI, 1.65-8.99), male patients (aOR, 2.20; 95% CI, 1.93-2.51), and patients with renal disease (aOR, 2.42; 95% CI, 1.57-3.74).

CONCLUSION

In this study, concomitant use of benzodiazepines and opioids was associated with a higher risk of death compared with use of a single drug. The risks and benefits of co-prescribing of benzodiazepines and opioids must be weighed carefully.

Screening to identify signals of opioid drug interactions leading to unintentional traumatic injury

BACKGROUND

Efforts to minimize harms from opioid drug interactions may be hampered by limited evidence on which drugs, when taken concomitantly with opioids, result in adverse clinical outcomes.

OBJECTIVE

To identify signals of opioid drug interactions by identifying concomitant medications (precipitant drugs) taken with individual opioids (object drugs) that are associated with unintentional traumatic injury DESIGN: We conducted pharmacoepidemiologic screening of Optum Clinformatics Data Mart, identifying drug interaction signals by performing confounder-adjusted self-controlled case series studies for opioid + precipitant pairs and injury.

SETTING

Beneficiaries of a major United States-based commercial health insurer during 2000-2015 PATIENTS: Persons aged 16-90 years co-dispensed an opioid and ≥1 precipitant drug(s), with an unintentional traumatic injury event during opioid therapy, as dictated by the case-only design EXPOSURE: Precipitant-exposed (vs. precipitant-unexposed) person-days during opioid therapy.

OUTCOME

Emergency department or inpatient International Classification of Diseases discharge diagnosis for unintentional traumatic injury. We used conditional Poisson regression to generate confounder adjusted rate ratios. We accounted for multiple estimation via semi-Bayes shrinkage.

RESULTS

We identified 25,019, 12,650, and 10,826 new users of hydrocodone, tramadol, and oxycodone who experienced an unintentional traumatic injury. Among 464, 376, and 389 hydrocodone-, tramadol-, and oxycodone-precipitant pairs examined, 20, 17, and 16 (i.e., 53 pairs, 34 unique precipitants) were positively associated with unintentional traumatic injury and deemed potential drug interaction signals. Adjusted rate ratios ranged from 1.23 (95 % confidence interval: 1.05-1.44) for hydrocodone + amoxicillin-clavulanate to 4.21 (1.88-9.42) for oxycodone + telmisartan. Twenty (37.7 %) of 53 signals are currently reported in a major drug interaction knowledgebase.

LIMITATIONS

Potential for reverse causation, confounding by indication, and chance CONCLUSIONS: We identified previously undescribed and/or unappreciated signals of opioid drug interactions associated with unintentional traumatic injury. Subsequent etiologic studies should confirm (or refute) and elucidate these potential drug interactions.

Co-occurring opioid and sedative use disorder: Gender differences in use patterns and psychiatric co-morbidities in the United States

Non-medical use of both opioids and sedatives increases risk of overdose or accident. The purpose of the present study was to describe rates of co-use, to examine baseline characteristics and psychiatric conditions potentially associated with meeting criteria for co-occurring opioid use disorder and sedative use disorder, and to examine whether these relationships varied by gender. Participants were 330 individuals from the NESARC-III who met criteria for current opioid use disorder. Gender-stratified logistic regression analyses, accounting for the survey design, were used to identify psychiatric conditions associated with meeting criteria for co-occurring sedative use disorder. Results indicated that 16.4% of the sample also met criteria for sedative use disorder. Notably, 55.6% of the sample attained opioids through their own prescription. Of those with co-occurring sedative use disorder, 47.2% attained sedatives through their own prescription. Posttraumatic stress disorder (OR = 3.02, 95% CI = 1.40-6.51) and antisocial personality disorder (OR = 2.72, 95% CI = 1.37-5.41) were associated with co-occurring sedative use disorder among both men and women with opioid use disorder. Depressive disorders (OR = 2.12, 95% CI = 1.01-4.42) and schizotypal personality disorder (OR = 5.78, 95% CI = 2.48-13.49) were associated with co-occurring sedative use disorder in women only. Results of the present study highlight the importance of prescription monitoring, further research into gender-informed treatments, and implementation of treatments for substance use and co-occurring symptoms.

Impact of opioid dose escalation on the development of substance use disorders, accidents, self-inflicted injuries, opioid overdoses and alcohol and non-opioid drug-related overdoses: a retrospective cohort study

AIM

To understand the potential harmful effects of dose escalation among patients with chronic, non-cancer pain (CNCP) on chronic opioid therapy.

DESIGN

Retrospective cohort study.

SETTING

United States Veterans Healthcare Administration.

PARTICIPANTS

Veterans with CNCP and on chronic opioid therapy were identified using data from fiscal years 2008-15. The Veteran sample was approximately 90% male and 70% white.

MEASUREMENTS

Dose escalators [increase of > 20% average morphine milligram equivalent (MME) daily dose] were compared with dose maintainers (change of ±20% average MME daily dose). A composite measure of subsequent substance use disorders (SUDs: opioid, non-opioid and alcohol use disorders) and opioid-related adverse outcomes (AOs: accidents resulting in wounds/injuries, opioid-related and alcohol and non-opioid medication-related accidents and overdoses, self-inflicted injuries) as well as the individual SUDs and AOs was examined. The primary analyses were conducted among a 1 : 1 matched sample of escalators and maintainers matched on propensity score and index date. Propensity scores were generated using demographic characteristics, medical comorbidities, medication and health-care utilization characteristics. Subgroup analyses were conducted by quartile of the propensity score. Sensitivity analyses were conducted using adjusted logistic regression, logistic regression using stabilized inverse probability of treatment weighting (SIPTW) and instrumental variable (IV) models using geographic variation in opioid dose escalation as the IV.

FINDINGS

There were 32 420 maintainers and 20 767 escalators resulting in 19 358 (93.2%) matched pairs. Composite AOs [odds ratio (OR) = 1.31, 95% confidence interval (CI) = 1.23, 1.40], composite SUDs (OR = 1.31, 95% CI = 1.22, 1.41) and individual SUD and AO subtypes were higher among dose escalators, except for opioid-related accidents and overdoses and violence-related injuries. Subgroup analyses within the propensity score quartiles found similar results. Sensitivity analyses with the adjusted and SIPTW logistic regressions found similar results to the primary analyses for all outcomes except for opioid-related accidents and overdoses, which were found to be significantly higher among escalators. Sensitivity analyses with IV models provided mixed results with SUDs and the individual types of AOs.

CONCLUSION

Escalating the opioid dose for those with chronic, non-cancer pain is associated with increased risks of substance use disorder and opioid-related adverse outcomes.

Quantifying enhanced risk from alcohol and other factors in polysubstance-related deaths

BACKGROUND

To quantify how alcohol, polysubstance use and other factors influence opioid concentrations in drug-related deaths in West Virginia (WV), United States.

METHODS

Multiple linear regression models were employed to identify relationships among alcohol, other factors, and the concentrations of four commonly identified opioids (fentanyl, hydrocodone, oxycodone, methadone), accounting for demographic, toxicological and comorbid characteristics in WV drug-related deaths from 2005 to 2018.

RESULTS

Alcohol concentrations of 0.08% or above were associated with significant reductions in blood concentrations of fentanyl (27.5%), hydrocodone (30.5%) and methadone (32.4%). Significantly lower predicted concentrations of all opioids studied were associated with multiple opioid vs. single opioid presence, with predicted concentration reductions ranging from 13.7% for fentanyl to 65-66% for hydrocodone and oxycodone. Benzodiazepine presence was associated with small, non-statistically significant changes in opioid concentrations, while stimulant presence was associated with statistically significant reductions in hydrocodone and oxycodone concentrations.

CONCLUSIONS

Co-ingestion of alcohol, multiple opioids or stimulants were associated with significantly decreased predicted concentrations of commonly identified opioids in drug deaths. Further evidence is provided for enhanced risks from polysubstance use with opioids, which has important public health implications.

Correlates of Benzodiazepine Use and Adverse Outcomes Among Patients with Chronic Pain Prescribed Long-term Opioid Therapy

OBJECTIVE

To examine the correlates and odds of receiving overlapping benzodiazepine and opioid prescriptions and whether co-prescription was associated with greater odds of falling or visiting the emergency department.

DESIGN

Cross-sectional study.

SETTING

A large private integrated health system and a Veterans Health Administration integrated health system.

SUBJECTS

Five hundred seventeen adults with musculoskeletal pain and current prescriptions for long-term opioid therapy.

METHODS

A multivariate logistic regression model examined correlates of having overlapping benzodiazepine and opioid prescriptions in the year before enrollment in the cross-sectional study. Negative binomial models analyzed the number of falls in the past three months and past-year emergency department visits. In addition to propensity score adjustment, models controlled for demographic characteristics, psychiatric diagnoses, medications, overall comorbidity score, and opioid morphine equivalent dose.

RESULTS

Twenty-five percent (N = 127) of participants had co-occurring benzodiazepine and opioid prescriptions in the prior year. Odds of receiving a benzodiazepine prescription were significantly higher among patients with the following psychiatric diagnoses: anxiety disorder (adjusted odds ratio [AOR] = 4.71, 95% confidence interval [CI] = 2.67-8.32, P < 0.001), post-traumatic stress disorder (AOR = 2.24, 95% CI = 1.14-4.38, P = 0.019), and bipolar disorder (AOR = 3.82, 95% CI = 1.49-9.81, P = 0.005). Past-year overlapping benzodiazepine and opioid prescriptions were associated with adverse outcomes, including a greater number of falls (risk ratio [RR] = 3.27, 95% CI = 1.77-6.02, P = 0.001) and emergency department visits (RR = 1.66, 95% CI = 1.08-2.53, P = 0.0194).

CONCLUSIONS

Among patients with chronic pain prescribed long-term opioid therapy, one-quarter of patients had co-occurring prescriptions for benzodiazepines, and dual use was associated with increased odds of falls and emergency department visits.

Respiratory events associated with concomitant opioid and sedative use among Medicare beneficiaries with chronic obstructive pulmonary disease

BACKGROUND

Opioids and sedatives are commonly prescribed in chronic obstructive pulmonary disease (COPD) patients for symptoms of dyspnoea, pain, insomnia, depression and anxiety. Older adults are advised to avoid these medications due to increased adverse events, including respiratory events. This study examines respiratory event risks associated with concomitant opioid and sedative use compared with opioid use alone in older adults with COPD.

METHODS

A 5% nationally representative sample of Medicare beneficiaries with COPD and opioid use between 2009 and 2013 was used for this retrospective cohort study. Current and past concomitant use were identified using drug dispensed within 7 days from the censored date: at respiratory event, at death, or at 12 months post index. Concomitant opioid and sedative use were categorised into no overlap (opioid only), 1 to 10, 11 to 30, 31 to 60 and >60 days of total overlap. The primary outcome was hospitalisation or emergency department (ED) visits for respiratory events (COPD exacerbations or respiratory depression). Propensity score matching was implemented and semi-competing risk models were used to address competing risk by death.

RESULTS

Among 48 120 eligible beneficiaries, 1810 (16.7%) concomitant users were matched with 9050 (83.3%) opioid only users. Current concomitant use of 1 to 10, 11 to 30 and 31 to 60 days was associated with increased respiratory events (HRs (95% CI): 2.8 (1.2 to 7.3), 9.3 (4.9 to 18.2) and 5.7 (2.5 to 12.5), respectively), compared with opioid only use. Current concomitant use of >60 days or past concomitant use of ≤60 days was not significantly associated with respiratory events. Consistent findings were found in sensitivity analyses, including in subgroup analysis of non-benzodiazepine sedatives. Additionally, current concomitant use significantly increased risk of death.

CONCLUSION

Short-term and medium-term current concomitant opioid and sedative use significantly increased risk of respiratory events and death in older COPD Medicare beneficiaries. Long-term past concomitant users, however, demonstrated lower risks of these outcomes, possibly reflecting a healthy user effect or developed tolerance to the effects of these agents.

Between- and within-person associations between opioid overdose risk and depression, suicidal ideation, pain severity, and pain interference

BACKGROUND

To better understand overdose (OD) risk and develop tailored overdose risk interventions, we surveyed 234 opioid-using veterans residing in New York City, 2014-2017. Our aim was to better understand how predictors of OD may be associated with physical and mental health challenges, including pain severity and interference, depression and suicidal ideation over time.

METHODS

Veterans completed monthly assessments of the Overdose Risk Behavior Scale (ORBS), pain severity and interference, suicidal ideation, and depression for up to two years and were assessed an average of 14 times over 611 days. To estimate between-person and within-person associations between time-varying covariates and opioid risk behavior, mixed-effects regression was used on the 145-person subsample of veterans completing the baseline and at least three follow-up assessments.

RESULTS

The level of each time-varying covariate at the average of study time (between-person effect) was positively related to ORBS for pain severity and interference, suicidal ideation, and depression. Deviations from individuals' personal trajectories (within-person effect) were positively related to ORBS for pain severity and interference, suicidal ideation, and depression.

CONCLUSIONS

US military veterans endure physical and mental health challenges elevating risk for opioid-related overdose. When pain severity, pain interference, suicidal ideation and depression were higher than usual, opioid risk behavior was higher. Conversely, when these health issues were less of a problem than usual, opioid risk behavior was lower. Assessing the physical and mental health of opioid-using veterans over time may support the development and implementation of interventions to reduce behaviors that increase the likelihood of overdose.

Military veterans' overdose risk behavior: Demographic and biopsychosocial influences

BACKGROUND

U.S. military veterans face many biopsychosocial (BPS) challenges post-service that may elevate risk for opioid-related overdose including physical pain, mental health concerns and social stressors. Some veterans use opioids to manage pain and cope with social readjustment. This study assessed associations between BPS factors and recent engagement in overdose risk behavior in a community sample of post-9/11 veterans who used opioids in New York City.

METHODS

Participants (n = 218) were recruited through convenience sampling and completed a baseline assessment including a validated Opioid Risk Behavior Scale (ORBS) that measured past-30-day engagement in 22 opioid-related overdose risk behaviors. Analyses examined associations between ORBS scores and hypothesized demographic, biological/physical, psychological and social predictors. Incident rate ratios estimated the expected relative difference in ORBS score associated with each predictor.

RESULTS

Participants reported an average of 4.72 overdose risk behaviors in the past 30 days. Significant independent predictors of higher ORBS score, after adjustment for demographics and current prescription medications, were past-30-day: depression symptoms; unsheltered or living in a homeless shelter (vs. private housing); history of mental health treatment; experiencing stressful life events; average pain severity; and pain interference.

CONCLUSION

Veterans face myriad BPS challenges and, while drug-related overdose risks are well understood, findings suggest that other factors-including mental health, pain and stressful life events-may also be associated with overdose risk among opioid-using veterans. The larger challenges veterans face should be considered in the context of BPS forms of pain management when tailoring and delivering overdose prevention interventions.

The Influence of Allowable Refill Gaps on Detecting Long-Term Opioid Therapy: An Analysis of Population-Based Administrative Dispensing Data Among Patients with Knee Arthritis Awaiting Total Knee Arthroplasty

BACKGROUND

It is challenging to detect long-term opioid therapy (LTOT) using administrative data, as refill gaps can disrupt opioid utilization episodes. Previous studies have used various methods to define LTOT and allowable refill gaps with little supporting evidence.

OBJECTIVE

To describe the effect of allowable refill gaps on detecting LTOT among a cohort of patients with arthritis awaiting total knee arthroplasty (TKA) using 3 different methods.

METHODS

A retrospective analysis of multicenter population-based data between January 1, 2012, and December 31, 2016, identified patients prescribed opioids before TKA in Alberta, Canada. We described 3 methods to detect LTOT based on a (1) fixed number of days between prescriptions; (2) fraction of the preceding prescription length; and (3) combination method that selected whichever refill gap was greatest. We then compared the number of patients classified as long-term opioid users by varying the number of days between prescriptions from 1-90 days (fixed method) or 0.04-3.2 times the duration (fraction method) for each method and refill gap.

RESULTS

Of the 14,252 patients included in our cohort, 4,393 patients (31%) had an opioid prescription within 180 days before TKA. Detection of LTOT varied from 4.4% to 14.6% (fixed method), 4.2% to 13.2% (fraction method), and 4.5% to 15.1% (mixed method) as refill gaps varied from minimum to maximum. As refills gaps increased, the dose and duration of opioids in the utilization episode decreased for all 3 methods.

CONCLUSIONS

The allowable refill gap between opioid prescriptions can influence the estimated rate of LTOT when using administrative pharmaceutical dispensing data. Definitional parameters should be carefully considered when using administrative data to define consistent opioid use.

DISCLOSURES

This work was supported by the Department of Surgery's Clinical Research Grant at the University of Alberta (RES0039945). The authors have no potential conflicts of interest.

Doctor hopping and doctor shopping for prescription opioids associated with increased odds of high-risk use

PURPOSE

Early detection of risky behaviors involving prescription opioids can assist prescribers in implementing safer prescribing. Patient-to-prescriber travel patterns may indicate potential opioid misuse. We introduce doctor hopping, patients bypassing nearby prescribers in favor of more distant ones, as a new spatial estimation of potentially risky behavior, and compare with traditional doctor shopping metrics.

METHODS

We examined all filled opioid prescriptions between 2015 and 2016 from the Arkansas Prescription Drug Monitoring Program. We calculated patient-to-prescriber travel times and number of prescribers bypassed for each prescription, adjusted for payment method. Opioid recipients traveling further than the nearest urban area and bypassing more prescribers than 99% of other recipients from the same zip code were identified as doctor hoppers. We calculated odds ratios to evaluate how doctor hopping and doctor shopping correspond to high-risk opioid uses.

RESULTS

Approximately 0.72% of all opioid recipients in Arkansas engaged in doctor hopping two or more times during the study period. Rates of doctor hopping varied spatially but were more common in rural areas. Doctor shopping was more common in urban areas. Both hopping and shopping were significantly associated with higher odds of engaging in high-risk opioid use. The combination of doctor hopping and doctor shopping metrics can predict high-risk use better than either metric alone and may allow for earlier detection than doctor shopping alone.

CONCLUSIONS

Doctor hopping is positively associated with high-risk opioid use and is distinct from and complementary to doctor shopping. We recommend Prescription Drug Monitoring Program (PDMP) vendors incorporate similar spatial analyses into their systems.

Is Opioid Prescribing Driving Trauma Recidivism or is Trauma Driving Opioid Use?

In the past 30 years, opioid prescription rates have quadrupled and hospital admissions for overdose are rising. Previous studies have focused on alcohol use and trauma recidivism, however rarely evaluating recidivism and opioid use. We hypothesized there is an association between opioid use and trauma recidivism. This is a retrospective review of patients with multiple admissions for traumatic injury. Demographics, opioid toxicology screen (TS) results, and injury characteristics were collected. Statistical analysis was performed with chi-squared and Poisson regression models. One thousand six hundred forty-nine patients (age ≥18 years) had multiple trauma admissions. Seven hundred nine patients had TS data for both admissions. Thirty-one per cent (218) were TS positive on the 1st admission compared with 34 per cent (244) on their 2nd admission. Fifty-five per cent of patients who were TS positive on the 1st admission were positive on their 2nd admission, whereas 25 per cent who were TS negative on the 1st admission were subsequently positive on their 2nd admission ( P < 0.0001). Patients who were TS positive on the subsequent admission were less severely injured than TS negative patients (Injury Severity Score > 15, 26.3% vs 22.3%, P = 0.04). The only significant risk factor for being TS positive on the 2nd admission was being TS positive on the 1st admission (relative risk = 2.18, P < 0.001). A previous history of opioid use is the strongest predictor of recurrent use in recidivists.

Opioid and sedative misuse among veterans wounded in combat

BACKGROUND

Military veterans wounded in combat are a high-risk group for emotional and physical distress, which may be exacerbated by misuse of prescription opioids and sedatives. The goal of the current study was to examine the prevalence and correlates of prescription opioid and sedative misuse among veterans wounded in combat.

METHOD

We recruited veterans from the Combat Wounded Coalition (n = 212; 84% non-Hispanic White; 97.6% male) to complete an online survey of mental health and substance use disorder symptoms, assessed via the DSM-5 Self-Rated Level 1 Cross-Cutting Symptoms Measure, the Posttraumatic Stress Disorder (PTSD) Checklist for DSM-5, the Pain Enjoyment General Activity Scale, and the Alcohol Use Disorders Identification Test (AUDIT). Prescription opioid and sedative misuse was assessed by frequency of use in the past year that was not currently prescribed or using more than prescribed.

RESULTS

Participants reported high rates of past year prescription opioid misuse (46.2%) and sedative misuse (21.7%). Misuse of both opioids and sedatives was associated with the most distress, including greater depression, anger, sleep disturbance, AUDIT scores, PTSD symptoms, suicidality, and pain interference. In multivariable multinomial logistic regression analyses, greater sleep disturbance (OR = 1.73) was associated with greater odds of sedative misuse versus no misuse. Higher AUDIT scores were associated with greater risk of sedative misuse (OR = 1.16) versus opioid misuse only.

CONCLUSIONS

Military veterans wounded in combat have high rates of prescription opioid misuse and sedative misuse. Sleep problems and AUDIT scores might help identify veterans who are at most risk for opioid and sedative misuse.

Opioid use disorder: A public health emergency

The treatment of patients with acute and chronic pain not attributed to cancer or end-of-life conditions is a challenge for many clinicians. Although CDC guidelines that focus on the primary care setting have provided critical recommendations, evidence-based guidance is lacking on optimal duration of opioid treatment for postoperative and acute care in specialty settings. Over the last 2 decades, the liberal use of opioids has resulted in many unintended consequences, including dependence and abuse, illicit distribution of legally and illegally prescribed opioid medication, progression to IV heroin and an epidemic of overdoses, and most recently an increase in the incidence of HIV among patients sharing syringes, frequently in communities with historically low HIV rates. This article analyzes these complex issues and proposes strategies to help clinicians improve patient care through education and responsible prescribing.

Association of Criminal Statutes for Opioid Use Disorder With Prevalence and Treatment Among Pregnant Women With Commercial Insurance in the United States

IMPORTANCE

Inadequate treatment of opioid use disorder (OUD) in pregnant women increases the risk of life-threatening consequences on maternal and fetal outcomes. Untreated OUD during pregnancy is associated with higher rates of adverse outcomes among newborns.

OBJECTIVE

To examine the variation in the prevalence of OUD and the use of medication-assisted treatment among commercially insured pregnant women according to region and state legislature.

DESIGN, SETTING, AND PARTICIPANTS

Cohort study in which the patient cohort used was derived from a 10% random sample of enrollees within the IQVIA PharMetrics Plus adjudicated claims and enrollment database from 2007 to 2015. The database consists of a 10% random sample of private health insurance recipients in the United States and contains claims and enrollment data that are representative of the commercially insured US population. The cohort comprised women (n = 110 285) between 18 and 45 years of age with a code indicating a delivery and continuous insurance enrollment 9 months before and 12 months after delivery. Data analysis was performed from December 2017 to May 2018.

EXPOSURES

Based on their state of residence, the women were classified into 4 different regions: South, Midwest, West, and Northeast. Those residing in states with statutes that imposed civil or criminal penalties for OUD diagnosis during pregnancy were placed in a separate population from those residing in states without these statutes.

MAIN OUTCOMES AND MEASURES

Diagnosis of OUD in the 9 months before delivery and the receipt of medication-assisted treatment in the 9 months before or 12 months after delivery.

RESULTS

The 110 285 pregnant women included in the analysis had a mean (SD) age of 30.26 (5.59) years, with most (67 771 [61.5%]) falling within the 26- to 35-year age range. Of this cohort, 277 women (0.25%) had a diagnosis of OUD and 312 (0.28%) received treatment. Among the 277 women with OUD, 127 (45.9%) received treatment. The prevalence of an OUD diagnosis and receipt of treatment within regions was statistically significant (OUD diagnosis by region: Midwest, 0.05%; North, 0.09%; South, 0.06%; West, 0.06%; χ23 = 45.1148 [P < .001]; OUD treatment by region: Midwest, 0.05%; North, 0.08%; South, 0.10%; West, 0.05%; χ23 = 26.5654 [P < .001]). The prevalence of OUD diagnosis was also statistically significant when comparing women residing in states with statutes with those in states without statutes (OUD diagnosis by criminal statutes: criminalization, 0.07%; no criminalization, 0.18%; χ21 = 14.6456 [P < .001]; OUD treatment by criminal statutes: criminalization, 0.12%; no criminalization, 0.17%; χ21 = 0.0895); the receipt of treatment was not statistically significant (P = .76).

CONCLUSIONS AND RELEVANCE

These results appeared to show significant variations in the patterns of OUD diagnosis and receipt of medication-assisted treatment among pregnant women, suggesting the need to further explore the source of these variations.