Co-prescription Of Opioids Research Articles

Pain Management Treatments and Opioid Use Disorder Risk in Medicaid Patients

IntroductionPeople 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. MethodsData were analyzed in 2024 from two 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 i) dose and ii) duration; iii) number of opioid prescribers; opioid co-prescription with iv) benzo- diazepines, v) muscle relaxants, and vi) gabapentinoids; vii) non-opioid pain prescription, viii) physical therapy, and ix) other pain treatment modality. The outcome was OUD risk. ResultsHaving 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. ConclusionsCo-prescription 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.

Opioid Coprescription Through Risk Mitigation Guidance and Opioid Agonist Treatment Receipt

At the onset of the COVID-19 pandemic, the government of British Columbia, Canada, released clinical guidance to support physicians and nurse practitioners in prescribing pharmaceutical alternatives to the toxic drug supply. These alternatives included opioids and other medications under the risk mitigation guidance (RMG), a limited form of prescribed safer supply, designed to reduce the risk of SARS-CoV-2 infection and harms associated with illicit drug use. Many clinicians chose to coprescribe opioid medications under RMG alongside opioid agonist treatment (OAT). To examine whether prescription of hydromorphone tablets or sustained-release oral morphine (opioid RMG) and OAT coprescription compared with OAT alone is associated with subsequent OAT receipt. This population-based, retrospective cohort study was conducted from March 27, 2020, to August 31, 2021, included individuals from 10 linked health administrative databases from British Columbia, Canada. Individuals who were receiving OAT at opioid RMG initiation and individuals who were receiving OAT and eligible but unexposed to opioid RMG were propensity score matched at opioid RMG initiation on sociodemographic and clinical variables. Data were analyzed between January 2023 and February 2024. Opioid RMG receipt (≥4 days, 1-3 days, or 0 days of opioid RMG dispensed) in a given week. The main outcome was OAT receipt, defined as at least 1 dispensed dose of OAT in the subsequent week. A marginal structural modeling approach was used to control for potential time-varying confounding. A total of 4636 individuals (2955 [64%] male; median age, 38 [31-47] years after matching) were receiving OAT at the time of first opioid RMG dispensation (2281 receiving ongoing OAT and 2352 initiating RMG and OAT concurrently). Opioid RMG receipt of 1 to 3 days in a given week increased the probability of OAT receipt by 27% in the subsequent week (adjusted risk ratio, 1.27; 95% CI, 1.25-1.30), whereas receipt of opioid RMG for 4 days or more resulted in a 46% increase in the probability of OAT receipt in the subsequent week (adjusted risk ratio, 1.46; 95% CI, 1.43-1.49) compared with those not receiving opioid RMG. The biological gradient was robust to different exposure classifications, and the association was stronger among those initiating opioid RMG and OAT concurrently. This cohort study, which acknowledged the intermittent use of both medications, demonstrated that individuals who were coprescribed opioid RMG had higher adjusted probability of continued OAT receipt or reengagement compared with those not receiving opioid RMG.

Prescribing Benzodiazepines and Opioids and Clinical Characteristics Associated With 30-Day Hospital Return in Patients Aged ≥75 Years: Secondary Data Analysis.

The current study compared prevalence of opioid or benzodiazepine (BZD) prescription and co-prescription of opioids and BZD at discharge and return to a community hospital within 30 days, as well as identified clinical characteristics associated with hospital return in patients aged ≥75 years. A secondary analysis of a database created during implementation of the Safe Transitions for At Risk Patients program at a 400-bed community teaching hospital in south Florida was conducted. Multivariable logistic regression analyses were performed to identify significant demographic and clinical characteristics associated with return to the hospital within 30 days of discharge. A total of 24,262 participants (52.6% women) with a mean age of 85.3 (SD = 6.42) years were included. More than 20% in each central nervous system prescription group (i.e., opioids only, BZD only, opioids and BZD) returned to the hospital within 30 days of discharge. Demographic and chronic conditions (e.g., congestive heart failure, chronic obstructive pulmonary disease, diabetes) and poly-pharmacy were significant factors of a 30-day return to the hospital. Findings highlight the importance of hospital nurses' role in identifying high-risk patients, educating patients and caregivers, monitoring them closely, communicating with primary care physicians and specialists, and conducting intensive follow up via telephone to avoid 30-day rehospitalization. [Journal of Gerontological Nursing, 50(4), 25-33.].

An age-friendly approach to primary care in an academic health system.

Age-friendly care, addressing what matters most, medications, mentation, and mobility, is a successful model for improving older adult care. We describe the initial outcomes of age-friendly care implementation in five primary care clinics in an academic health system. In partnership with a regional quality improvement (QI) organization, we used practice facilitation to implement age-friendly care from July 2020 to June 2023. Clinic workflows and electronic health record (EHR) templates were modified to capture six QI measures for patients ≥65 years: Documenting what matters most to patients Advance care planning (ACP) Annual cognitive screening Caregiver referral to dementia community resources Fall-risk screening Co-prescription of opioid and sedative-hypnotic drugs Providers were alerted if patients had positive screens and given support tools for clinical decision-making. QI measures from January-June 2023 were compared to the year prior to implementation. Providers and staff were interviewed about implementation barriers and facilitators. All six measures improved in Geriatrics and and other clinics showed improvement in ACP and cognitive screening. All clinics had high fall-risk screening rates (≥85%). The least improved measure was co-prescription of opioids and sedative-hypnotics with co-prescription rates ranging from 7% to 39%. Implementation hinged on leadership prioritization, practice facilitator guidance, clinical team buy-in, EHR functionality, and clinical performance review. Three clinics received Age-Friendly Health System recognition. A QI approach using practice facilitation and EHR templates improved some but not all age-friendly care measures. Future interventions will focus on training in high-risk medication tapering and elicitation of health goals.

Treating Chronic Pain and Anxiety – a Modest Proposal

Introduction: the CDC guidelines of 2016 and 2022 strongly proscribed the co-prescription of opioids and benzodiazepines, implicitly suggesting that the combination was associated with high risk. This position now strongly influences health provider organizations, clinicians, pharmacies, health insurance companies, and boards of medicine. We have previously comprehensively reviewed the generally high-quality published studies, all employing a retrospective cohort design. These studies suggest that, to the extent that the combination increases mortality risk, the magnitude of the increase is small and it likely reflects a conflation of mortality risk related to the underlying conditions and the risks associated with simultaneous use of drugs of both classes. We here recapitulate the results of our prior analyses, contrast them with CDC positions, and introduce the results of additional studies, some only recently published and some of which we had previously been unaware.

Cluster-Randomized Comparative Effectiveness Trial of Physician-Directed Clinical Decision Support Versus Patient-Directed Education to Promote Appropriate Use of Opioids for Chronic Pain

We compared the effectiveness of physician-directed clinical decision support (CDS) administered via electronic health record versus patient-directed education to promote the appropriate use of opioids by conducting a cluster-randomized trial involving 82 primary care physicians and 951 of their patients with chronic pain. Primary outcomes were satisfaction with patient-physician communication consumer assessment of health care providers and system clinician and group survey (CG-CAHPS) and pain interference patient-reported outcomes measurement information system. Secondary outcomes included physical function (patient-reported outcomes measurement information system), depression (PHQ-9), high-risk opioid prescribing (>90 morphine milligram equivalents per day [≥90 mg morphine equivalent/day]), and co-prescription of opioids and benzodiazepines. We used multi-level regression to compare longitudinal difference-in-difference scores between arms. The odds of achieving the maximum CG-CAHPS score were 2.65 times higher in the patient education versus the CDS arm (P = .044; 95% confidence interval [CI] 1.03–6.80). However, baseline CG-CAHPS scores were dissimilar between arms, making these results challenging to interpret definitively. No difference in pain interference was found between groups (Coef = −0.64, 95% CI −2.66 to 1.38). The patient education arm experienced higher odds of Rx ≥ 90 milligrams morphine equivalent/day (odds ratio = 1.63; P = .010; 95% CI 1.13, 2.36). There were no differences between groups in physical function, depression, or co-prescription of opioids and benzodiazepines. These results suggest that patient-directed education may have the potential to improve satisfaction with patient-physician communication, whereas physician-directed CDS via electronic health records may have greater potential to reduce high-risk opioid dosing. More evidence is needed to ascertain the relative cost-effectiveness between strategies. PerspectiveThis article presents the results of a comparative-effectiveness study of 2 broadly used communication strategies to catalyze dialog between patients and primary care physicians around chronic pain. The results add to the decision-making literature and offer insights about the relative benefits of physician-directed versus patient-directed interventions to promote the appropriate use of opioids.

Cohort profile: Using primary care data to understand Opioid Prescribing, Policy Impacts and Clinical Outcomes (OPPICO) in Victoria, Australia.

PurposeThe OPPICO cohort is a population-based cohort based on non-identifiable electronic health records routinely collected from 464 general practices in Victoria, Australia, created with the aim of understanding opioid prescribing,...

Impact of unsolicited reporting notifications on providers’ prescribing behavior: An experimental study on Maryland PDMP data

BackgroundUnsolicited Reporting Notifications(URNs) have been a component of Maryland’s Prescription Drug Monitoring Program (PDMP) since 2016. We evaluated the effect of URNs on providers’ prescription behaviors. MethodsThis is a quasi-experimental study of providers who were issued at least one URN from January 2018 to April 2021. Providers for whom URNs were not successfully delivered were designated as a comparison group. The outcome variables were average daily opioid and benzodiazepine prescriptions, average morphine milligram equivalents per patient, and proportion of overlapping opioid and benzodiazepine, either with or without muscle relaxant prescriptions. Changes were compared before versus after the issuance of a URN among the intervention and comparison groups using “Generalized Estimation Equation” and “Generalized Linear” Models. We also conducted stratified analyses by types of URN, including notifications for multiple provider episodes (MPE), overdose fatality (ODF), and dangerous drug combinations (DDC). ResultsThe average daily number of opioids prescriptions (3.3% decrease in the intervention group vs 22.7% increase in the comparison group, P<0.001), co-prescription of opioids and benzodiazepines either with muscle relaxants (68.0% decrease vs. 36.1% decrease, P<0.001), or without muscle relaxants (6.0% decrease vs. 16.3% increase, P<0.001), significantly reduced after the first URN regardless of the type of URN. Stratified analysis by types of URNs showed that ODF and DDC URNs had a significant effect on most of the outcomes of interest. ConclusionThe findings suggest that unsolicited reporting, especially particular types of URNs including ODF and DDC, is associated with subsequent changes in unsafe prescribing behaviors.

Opioid and Sedative Coprescription: Prescribing Patterns after an ICU Admission.

Opioid misuse constitutes a health care crisis in Canada, and coprescription of opioids with sedatives has been associated with adverse events. Opioids and sedatives are frequently administered in the intensive care unit (ICU). The rate of continuation of opioid-sedative combinations after an ICU admission at the study institution was unknown. To determine the rates of opioid and sedative coprescriptions following an ICU admission and to identify factors associated with continuation of hospital-initiated opioid-sedative coprescriptions at ICU transfer and hospital discharge. This retrospective chart review involved patients admitted to ICUs at a tertiary care centre between April 1, 2018, and March 31, 2019. Baseline characteristics were obtained from a clinical database and medication information from medication reconciliation forms. An opioid coprescription was defined as prescription of an opioid in combination with a sedative (benzodiazepine, z-drug, gabapentinoid, tricyclic antidepressant, or antipsychotic), and hospital-initiated coprescriptions encompassed various predefined scenarios of therapy started or modified before ICU transfer. Factors associated with hospital-initiated opioid coprescription were analyzed by multivariable logistic regression. A total of 735 patients met the inclusion criteria. At ICU transfer, 23.0% (169/735) of the patients had an opioid coprescription, and 87.0% (147/169) of these coprescriptions were hospital-initiated. At hospital discharge, 8.6% (44/514) of the patients had an opioid coprescription, and 56.8% (25/44) of these coprescriptions were hospital-initiated. Male sex, home opioid coprescription, surgical patient, prolonged hospital stay, and in-hospital death were significantly associated with hospital-initiated opioid coprescription at the time of ICU transfer. Home opioid coprescription was significantly associated with opioid coprescription at the time of hospital discharge. Hospital-initiated opioid coprescriptions accounted for the majority of opioid coprescriptions at ICU transfer and hospital discharge. Pharmacists should assess all opioid coprescriptions to determine whether discontinuation and/or dose reduction is appropriate.

Medication adverse events in the ambulatory setting: A mixed-methods analysis.

To characterize ambulatory care adverse drug events reported to the Collaborative Healthcare Patient Safety Organization (CHPSO), a network of 400 hospitals across the United States, and identify addressable contributing factors. We abstracted deidentified ambulatory care CHPSO reports compiled from May 2012 to October 2018 that included medication-related adverse events to identify implicated medications and contributing factors. We dual-coded 20% of the sample. We quantitatively calculated co-occurring frequent item sets of contributing factors and then applied a qualitative thematic analysis of co-occurring sets of contributing factors for each drug class using an inductive analytic approach to develop formal themes. Of 1,244 events in the sample, 208 were medication related. The most commonly implicated medication classes were anticoagulants (n = 97, or 46% of events), antibiotics (n = 24, 11%), hypoglycemics (n = 19, 9%), and opioids (n = 17, 8%). For anticoagulants, timely follow-up on supratherapeutic international normalized ratio (INR) values occurred before the development of symptoms. Incident reports citing antibiotics often described prescribing errors and failure to review clinical contraindications. Reports citing hypoglycemic drugs described low blood sugar events due to a lack of patient education or communication. Reports citing opioids described drug-drug interactions, commonly involving benzodiazepines. Ambulatory care prescribing clinicians and community pharmacists have the potential to mitigate harm related to anticoagulants, antibiotics, hypoglycemics, and opioids. Recommendations include increased follow-up for subtherapeutic INRs, improved medical record integration and chart review for antibiotic prescriptions, enhanced patient education regarding hypoglycemics, and alerts to dissuade coprescription of opioids and benzodiazepines.

Opioid Initiation and the Hazard of Falls or Fractures Among Older Adults with Varying Levels of Central Nervous System Depressant Burden.

Co-prescription of opioids with other central nervous system (CNS) depressants is common but the combination may increase the risk for adverse events such as falls and fractures, particularly among older adults. We explored the risk of fall- or fracture-related hospital visits after opioid initiation among older adults with varying degrees of concomitant CNS depressant burden. We used population-based administrative health data from Ontario, Canada, to examine the relationship between hospital visits for falls or fractures at different levels of CNS burden among individuals aged 66 and older who started prescription opioids between March 1, 2008, and March 31, 2019. For comparison, we identified individuals starting prescription non-steroidal anti-inflammatory drugs (NSAIDs). The outcome was a hospital visit for falls or fractures within 14 days after starting analgesic therapy. We stratified the cohort according to additional CNS burden: none, low (one concurrent CNS depressant drug class) and high (≥ 2 concurrent CNS depressant classes) on the index date. We balanced opioid and NSAID recipients using inverse probability of treatment weighting and reported weighted hazard ratios from Cox proportional hazards models. We then used pairwise comparisons to determine differences between hazard ratios at different levels of CNS burden. The cohort included 1,066,692 older adults, with 562,692 new opioid recipients and 504,000 new NSAID recipients. Among opioid recipients, 83 % had no additional CNS burden, 13 % had low burden and 4 % had high burden. The short-term rate of falls or fractures for new opioid recipients increased by CNS burden from 97 per 1000 person-years (no burden) to 233 per 1000 person-years (high CNS burden). Opioid recipients had a similarly elevated hazard of falls or fractures within each CNS burden level compared to NSAID recipients (adjusted hazard ratio [aHR] 1.62, 95 % CI 1.50-1.76 for no burden; aHR 1.69, 95 % CI 1.45-1.97 for low burden; aHR 1.40, 95 % CI 1.08-1.82 for high burden). Among older adults, initiation of opioids is associated with an increased hazard of falls; however, this hazard is not modified by different levels of CNS depressant burden. This suggests that it remains important for physicians, patients, and caregivers to be vigilant when starting new opioid therapy regardless of other CNS medications taken concurrently.

A Life-Saving Reduction in the Coprescription of Opioids and Benzodiazepines

A Life-Saving Reduction in the Coprescription of Opioids and Benzodiazepines

Coprescribing of opioids and high-risk medications in the USA: a cross-sectional study with data from national ambulatory and emergency department settings

ObjectiveDescribe trends in opioid plus high-risk medication coprescribing in the USA.DesignAnalyses of serial, cross-sectional, nationally representative data of the National Ambulatory Medical Care Survey (NAMCS) over 2007–2016 and the National...

Impact of CDC warning on co-prescribing of opioids and benzodiazepines in older allogeneic hematopoietic cell transplant recipients

The use of opioids and/or benzodiazepines in older adults (65 y+) who received an allogeneic hematopoietic cell transplant (HCT) is not known. In March 2016, the CDC released its strongest guidelines against prescription of opioids and co-prescription of opioids + benzodiazepines. We evaluated the use of opioids and/or benzodiazepines in older (65 y + , n = 114) vs. younger (40-64 y, n = 240) allogeneic-HCT recipients before and after the CDC guidelines. The proportion of patients with >10-days of use of opioids and/or benzodiazepines peri-HCT (day-14 to +28) was compared. Opioids: the older (65 + y) group had similar odds of receiving opioids as the younger group (40-64 y) [O.R. 0.7 (95%CI:0.4-1.2)]. Those transplanted after the CDC guideline had 0.4 (95%CI:0.2-0.7) times the odds of receiving opioids. Benzodiazepines: The older (65 + y) group was 0.6 times (95%CI:0.3-0.9) as likely to receive benzodiazepines. There was no significant change in benzodiazepines use after the CDC guideline. Opioids + Benzodiazepines: The older group (65 + y) was 0.5 (95%CI:0.3-0.9) times as likely to receive both opioids+benzodiazepines. There was no significant change in opioids+benzodiazepines use after the CDC guideline. Though we observed a significant decrease in use of opioids after the CDC guideline, the use of benzodiazepines and combined opioids+benzodiazepines remained constant. Older recipients (65 + y) received less opioids, benzodiazepines, and combined opioids+benzodiazepines.

Drug-drug-gene interaction risk among opioid users in the U.S. Department of Veterans Affairs.

Response to analgesic therapy is influenced by several factors including genetics and drug-drug interactions. Pharmacogenetic (PGx) variants in the CYP2D6 gene modify response to opioids by altering drug metabolism. We sought to determine the potential impact of PGx testing on the care of Veterans with noncancer pain prescribed opioids metabolized by CYP2D6 (codeine, hydrocodone, or tramadol). A retrospective analysis was performed within the Veterans Health Administration evaluating prescription records for pain medications metabolized by CYP2D6 and interacting drugs from 2012 to 2017. Among 2,436,654 Veterans Health Administration pharmacy users with at least 1 opioid prescription, 34% met the definition of chronic use (longer than 90 days with more than 10 prescriptions or 120 days-supply). Opioids were commonly coprescribed with antidepressants interacting with CYP2D6 (28%). An estimated 21.6% (n = 526,905) of these patients are at an elevated risk of an undesirable response to their opioid medication based on predicted phenotypes and drug-drug interactions: 3.5% are predicted CYP2D6 ultrarapid metabolizers and at increased risk for toxicity, 5.4% are poor metabolizers at higher risk for nonresponse, and 12.8% are normal or intermediate metabolizers coprescribed a CYP2D6 inhibitor leading to phenoconversion into poor metabolizer. Despite the high rate of coprescription of opioids and interacting drugs, CYP2D6 testing was infrequent in the sample (0.02%), and chart review suggests that test results were used to optimize antidepressant treatments rather than pain medications. Using PGx testing combined with consideration of phenoconversion may allow for an enhanced precision medicine approach to pain management in Veterans.

Assessing coprescription of opioids with central nervous system depressants for nonmalignant chronic musculoskeletal pain management in the outpatient setting.

To determine annual prescribing trends of opioids and coprescription of central nervous system (CNS) depressants in nonmalignant chronic musculoskeletal pain from the National Ambulatory Medical Care Survey (NAMCS). To determine patient and provider characteristics associated with coprescription opioids and CNS depressants. The cross-sectional study analyzed NAMCS data from 2014 to 2016. Pain medications and CNS depressants were determined using Multum drug classification categories. All 30 medication entries were scanned in order to capture the maximum number of entries compared to previous studies. Multivariate logistic regressions were used to determine characteristics associated with opioid and CNS depressant coprescribing. Adults (18 years and older) with nonmalignant chronic musculoskeletal pain diagnosis based on ICD-9 codes were identified as the reason for visit. A total of 47,973,413 weighted visits with nonmalignant chronic musculoskeletal pain were reported in the US ambulatory setting from 2014 to 2016. Amongst these patients, 31 percent were on opioids, of which 26 percent were also prescribed benzodiazepines, 8 percent NBSH, and 22 percent gabapentinoids. The annual prescribing rate of opioids decreased significantly in 2016 compared to 2014 (OR: 0.63, 95 percent CI: 0.43-0.94). Polypharmacy and tobacco use were associated with higher odds of having opioids and concurrent opioid with CNS depressants. Our study results are in agreement with previous studies that found a steady decline in opioid prescribing even with the inclusion of all 30 medications in our study. Likewise, as previous studies have found, certain patient characteristics continue to be significant for receiving opioid and CNS depressant prescriptions.

Opioids and Chronic Pain: An Analytic Review of the Clinical Evidence.

We conducted an analytic review of the clinical scientific literature bearing on the use of opioids for treatment of chronic non-cancer pain in the United States. There is substantial, albeit not definitive, scientific evidence of the effectiveness of opioids in treating pain and of high variability in opioid dose requirements and side effects. The estimated risk of death from opioid treatment involving doses above 100 MMED is ~0.25%/year. Multiple large studies refute the concept that short-term use of opioids to treat acute pain predisposes to development of opioid use disorder. The prevalence of opioid use disorder associated with prescription opioids is likely <3%. Morbidity, mortality, and financial costs of inadequate treatment of the 18 million Americans with moderate to severe chronic pain are high. Because of the absence of comparative effectiveness studies, there are no scientific grounds for considering alternative non-pharmacologic treatments as an adequate substitute for opioid therapy but these treatments might serve to augment opioid therapy, thereby reducing dosage. There are reasons to question the ostensible risks of co-prescription of opioids and benzodiazepines. As the causes of the opioid crisis have come into focus, it has become clear that the crisis resides predominantly in the streets and that efforts to curtail it by constraining opioid treatment in the clinic are unlikely to succeed.

Coprescription of Opioids With Other Medications and Risk of Opioid Overdose.

Polypharmacy is common among patients taking prescription opioids long-term, and the codispensing of interacting medications may further increase opioid overdose risk. To identify nonopioid medications that may increase opioid overdose risk in this population, we conducted a case-crossover-based screening of electronic claims data from IBM MarketScan and Optum Clinformatics Data Mart spanning 2003 through 2019. Eligible patients were 18years of age or older and had at least 180days of continuous enrollment and 90days of prescription opioid use immediately before an opioid overdose resulting in an emergency room visit or hospitalization. The main analysis quantified the odds ratio (OR) between opioid overdose and each nonopioid medication dispensed in the 90days immediately before the opioid overdose date after adjustment for prescription opioid dosage and benzodiazepine codispensing. Additional analyses restricted to patients without cancer diagnoses and individuals who used only oxycodone for 90days immediately before the opioid overdose date. The false discovery rate (FDR) was used to account for multiple testing. We identified 24,866 individuals who experienced opioid overdose. Baclofen (OR 1.56; FDR<0.01; 95% confidence interval (CI), 1.29 to 1.89), lorazepam (OR 1.53; FDR<0.01; 95% CI, 1.25 to 1.88), and gabapentin (OR 1.16; FDR=0.09; 95% CI, 1.04 to 1.28), among other nonopioid medications, were associated with opioid overdose. Similar patterns were observed in noncancer patients and individuals who used only oxycodone. Interventions may focus on prescribing safer alternatives when a potential for interaction exists.

Association Between Benzodiazepine and Opioid Prescription and Mortality Among Patients in a Large Healthcare System.

Coprescription of opioids and benzodiazepines (BDZ) is associated with adverse outcomes, including greater healthcare utilization and overdose risk. This study aims to examine opioid and BDZ coprescription, dosing, and mortality among patients with and without opioid use disorder (OUD) in a large healthcare system. Using data from the California state Prescription Drug Monitoring Program during 2010 to 2014 linked with a large healthcare system electronic health record database and mortality records from the Centers for Disease Control National Death Index, this study examined 5202 patients (1978 with OUD, 3224 controls). Multiple logistic regression analyses were conducted to examine relationships between most recent BDZ and opioid prescription, and their interaction with respect to mortality. About 10.5% of the sample died on or before December 31, 2014. About 17.7% were prescribed BDZ during the final month of observation. Individuals with OUD were prescribed higher average BDZ and opioid doses than those without OUD. After adjusting for covariates, increased prescribed doses of BDZ (odds ratio [OR]=1.34, 95%CI: 1.15-1.55 per 10 mg/d increment) and opioids (OR = 1.04, 95%CI: 1.02-1.05 per 10 mg/d increment) were positively associated with mortality. Non-OUD patients who received both BDZ and opioid prescriptions had a higher mortality than those who received only BDZ or opioids (The ratio of odds ratio (ROR) = 3.83, 95%CI: 1.78-8.21). Study findings highlight significant mortality associated with the coprescription of opioids and BDZ in a general healthcare setting. Further research is needed to elucidate factors associated with mortality among non-OUD patients who are co-prescribed opioids and BDZ.

Primary Care and Mental Health Prescribers, Key Clinical Leaders, and Clinical Pharmacist Specialists' Perspectives on Opioids and Benzodiazepines.

Due to increased risks of overdose fatalities and injuries associated with coprescription of opioids and benzodiazepines, healthcare systems have prioritized deprescribing this combination. Although prior work has examined providers' perspectives on deprescribing each medication separately, perspectives on deprescribing patients with combined use is unclear. We examined providers' perspectives on coprescribed opioids and benzodiazepines and identified barriers and facilitators to deprescribing. Qualitative study using semistructured interviews. One multisite Veterans Affairs (VA) healthcare system in the United States of America. Primary care and mental health prescribers, key clinical leaders, clinical pharmacist specialists (N = 39). Interviews were audio-recorded, transcribed, and analyzed using thematic analysis. Themes were identified iteratively, through a multidisciplinary team-based process. Analyses identified four themes related to barriers and facilitators to deprescribing: inertia, prescriber self-efficacy, feasibility of deprescribing/tapering, and promoting deprescribing, as well as a fifth theme, consequences of deprescribing. Results highlighted the complexity of deprescribing when multiple prescribers are involved, a need for additional support and time, and concerns about patients' reluctance to discontinue these medications. Facilitators included agreement with the goal of deprescribing and fear of negative consequences if medications are continued. Providers spoke to how deprescribing efforts impaired patient-provider relationships and informed their decisions not to start patients on these medications. Although providers agree with the goal, prescribers' belief in a limited deprescribing role, challenges with coordination among prescribers, concerns about insufficient time and patients' resistance to discontinuing these medications need to be addressed for efforts to be successful.