Concurrent Benzodiazepine Prescriptions Research Articles

Fall Risk Screening in Older Adult Patients on Chronic Opioid Therapy: A Quality Improvement Project.

Many older adults prescribed opioid pain medications may be at increased risk of falls. As a quality improvement (QI) initiative, the University of Utah Sugar House clinic initiated a 9-month fall risk screening pilot for older adult patients on chronic opioids. This QI project sought to determine the feasibility of adding screening to a busy clinical practice, examine risk of falls in this patient cohort, and examine whether there were significant clinical and demographic differences between the patients who did or did not receive screening. We observed whether conventionally understood fall risk factors, including higher opioid doses, concurrent benzodiazepine prescription, and age, correlate with high fall risk. After the screening initiative, we determined that it was possible to significantly increase fall risk screening rates with prompts in Electronic Health Record (EHR). This cohort's fall risk screening increased from 18% to 33%. In the patients who were screened, 43% were found to be at high risk of falls. We did not see a correlation with high fall risk and patients taking higher doses of opioids or concurrent benzodiazepine prescriptions. These findings emphasize the need for consistent screening in primary care because review of the medication list alone is not a reliable predictor of fall risk.

A Comparison of Veterans with Problematic Opioid Use Identified through Natural Language Processing of Clinical Notes versus Using Diagnostic Codes.

Opioid use disorder is known to be under-coded as a diagnosis, yet problematic opioid use can be documented in clinical notes, which are included in electronic health records. We sought to identify problematic opioid use from a full range of clinical notes and compare the demographic and clinical characteristics of patients identified as having problematic opioid use exclusively in clinical notes to patients documented through ICD opioid use disorder diagnostic codes. We developed and applied a natural language processing (NLP) tool that combines rule-based pattern analysis and a trained support vector machine to the clinical notes of a patient cohort (n = 222,371) from two Veteran Affairs service regions to identify patients with problematic opioid use. We also used a set of ICD diagnostic codes to identify patients with opioid use disorder from the same cohort. The NLP tool achieved 96.6% specificity, 90.4% precision/PPV, 88.4% sensitivity/recall, and 94.4% accuracy on unseen test data. NLP exclusively identified 57,331 patients; 6997 patients had positive ICD code identifications. Patients exclusively identified through NLP were more likely to be women. Those identified through ICD codes were more likely to be male, younger, have concurrent benzodiazepine prescriptions, more comorbidities, and more care encounters, and were less likely to be married. Patients in both these groups had substantially elevated comorbidity levels compared with patients not documented through either method as experiencing problematic opioid use. Clinicians may be reluctant to code for opioid use disorder. It is therefore incumbent on the healthcare team to search for documentation of opioid concerns within clinical notes.

New Persistent Opioid Use After Childbirth.

To examine factors associated with new persistent opioid use after childbirth. We conducted a population-based cohort study of individuals who initiated opioid therapy within 7 days of discharge from hospital after delivery between September 1, 2013, and September 30, 2021. The primary outcome was new persistent opioid use , which was defined as one or more prescriptions for an opioid within 90 days of the first postpartum prescription and one or more subsequent opioid prescriptions in the 91-365 days afterward. We used multivariable logistic regression to assess patient-, pregnancy-, and prescription-related factors associated with new persistent opioid use after delivery. We identified 118,694 unique deliveries after which opioids were initiated, including 99,399 cesarean (83.7%) and 19,295 vaginal (16.3%) deliveries. Among mothers who initiated an opioid after delivery, 1,282 (10.8/1,000 deliveries) met our definition of new persistent opioid use in the subsequent year. Rates of new persistent opioid use were appreciably higher after vaginal (16.0/1,000) compared with cesarean (9.8/1,000) deliveries. Each additional 30 morphine milligram equivalents in the initial opioid prescription was associated with an increased risk of new persistent use after cesarean (adjusted odds ratio [aOR] 1.06, 95% CI 1.04-1.08) and vaginal (aOR 1.05, 95% CI 1.02-1.08) delivery. A concomitant benzodiazepine prescription after cesarean delivery was associated with a markedly increased risk of persistent opioid use (aOR 2.69, 95% CI 1.60-4.52). Among people who filled an opioid prescription after delivery, about 1% displayed evidence of persistent opioid use in the subsequent year. Initial prescriptions for large quantities of opioids and a concurrent benzodiazepine prescription may be important modifiable risk factors to prevent new persistent opioid use after delivery.

Opioid Dosage Levels, Concurrent Risk Factors and Self-Perceptions among Chronic Pain, Opioid-Managed Individuals at Elevated Risk for Opioid Overdose.

While current opioid prescribing guidelines highlight a dose-response relationship between therapeutic management and overdose risk, other concurrent risk factors have also been identified. However, there is little data in assessing the relationship between risk factor prevalence, associated provider communication, and subsequent perceptions of overdose risk among chronic pain, opioid-managed (CPOM) patients. An online questionnaire was distributed in June 2020 to a sample of CPOM individuals (n = 190) treated with an opioid prescription at or above 50 daily MME, or any dosage alongside benzodiazepines. CPOM individuals reported a mean daily MME of 470, with half (52.6%) receiving a concurrent benzodiazepine prescription. All patients reported past month alcohol use, and 67.4% indicated a risk-elevating diagnosed medical condition. In assessing provider communication, 41.6% reported no discussion focusing on the risks of one’s opioid therapy. Subsequently, 62.1% perceived themselves as having “no risk”, and 60.0% were “not at all concerned” (60.0%) about experiencing an opioid overdose. Organizational policies should focus on implementing consistent methods of patient education regarding overdose risk, as well as assessments of behaviors or characteristics that my increase an individual’s risk of opioid overdose. These policies should also include other forms of evidence-based overdose risk prevention such as co-prescriptions of naloxone.

Targeted Program in an Academic Rheumatology Practice to Improve Compliance With Opioid Prescribing Guidelines for the Treatment of Chronic Pain.

The Centers for Disease Control and Prevention (CDC) and many state governments have issued guidelines for opioid prescribing for the treatment of chronic noncancer-associated pain. We sought to decrease practice variation and increase compliance with these guidelines in a tertiary academic rheumatology practice by developing an interdisciplinary opioid working group and using electronic health record (EHR)-integrated data feedback. Division leadership and providers established shared goals at interdisciplinary meetings involving rheumatology, pain medicine, nursing, and pharmacy. Interventions included educational sessions on opioid prescribing guidelines and the sharing of individual de-identified prescribing patterns. An opioid dashboard page within the EHR allowed every provider to see individualized and division-wide data that tracked process measures based on CDC and state-specific guidelines. Baseline data from June to August 2017 were compared with monthly data through December 2018. At baseline, 40% of patients had an active opioid agreement (a Pennsylvania guideline and a New Jersey law), 25% had a urine drug screen result within 12 months of their most recent opioid prescription, and 24% had a concurrent benzodiazepine prescription. After 16 months, these percentages improved to 88%, 66%, and 16%, respectively. The average number of opioid tablets prescribed per month decreased from 59,733 to 48,966 (-18%; P = 0.02). Shared goals developed through interdisciplinary input and readily accessible data feedback can markedly increase provider compliance with national and state-specific guidelines for opioid prescribing for the treatment of chronic noncancer-associated pain in rheumatology.

Impact of a Multidisciplinary Long-Term Opioid Therapy Safety Program at a Military Tertiary Academic Medical Center.

In light of the ongoing opioid crisis, Naval Medical Center Portsmouth (NMCP) created the Long-Term Opioid Therapy Safety (LOTS) program to reduce risks and improve long-term opioid therapy outcomes. Our primary outcome was change in compliance with the recommended safety metrics. This is a retrospective cohort study performed at NMCP, a large military academic medical center providing comprehensive medical care to DoD beneficiaries. The NMCP LOTS program provides both patient and provider narcotic education as well as medical record auditing. The NMCP LOTS program promotes adherence to published CDC, the DVA, and DoD guidelines. Anonymized data were compiled each fiscal quarter and were analyzed retrospectively. Adult patients prescribed opioids for at least 90 days without a gap of 30 days between prescriptions were included in this study. The investigators recorded and reported provider compliance with LOTS metrics over the same period. Compliance with the recommended safety metrics improved. We noted a decrease in the number of long-term opioid patients, concurrent benzodiazepine prescriptions, and patients prescribed greater than 90 morphine equivalents per day during the observation period. The number of naloxone prescriptions for LOTS patients also increased, reflecting improved guideline adherence. Systematic education and feedback to providers are effective in creating a system and culture of opioid reduction, safe opioid prescribing, and system accountability. This article presents a comprehensive approach to modifying prescribing patterns of long-term opioids in a large healthcare system.

Clinical decision making involving prescription drug monitoring programs: A factorial, vignette-based study among student pharmacists

ObjectivesPrescription drug monitoring programs (PDMPs) are state-maintained databases that providers may reference when deciding to prescribe or dispense controlled substances. As more states begin to mandate PDMP use at the point of care, it is imperative to assess how pharmacists use PDMP information when determining whether to fill a controlled substance prescription (CSP). The objective of this study was to evaluate which factors affected fourth-year student pharmacists’ decision to fill an opioid prescription, their level of confidence in their decision making, and familiarity with the PDMP. MethodsWe used a 24 factorial design to present a series of text-based vignettes to fourth-year student pharmacists. Each participant received 8 vignettes (5 randomly selected, 3 fixed), representing a hypothetical hydrocodone-acetaminophen combination prescription with varying levels of the following dichotomous factors: doctor shopping, dosage, pharmacy shopping, and concurrent benzodiazepine prescription. Participants were asked to decide whether or not they would fill each of the hypothetical prescriptions they received. A multilevel model was used to measure the association between each of the vignette factors, age, race, sex, experience with PDMP, and the decision to refuse to fill a prescription. Each vignette response served as an independent observation. ResultsA total of 87 participants yielded 696 vignette responses. Participants were significantly more likely to refuse to fill prescriptions with doctor shopping (adjusted odds ratio [aOR] 19.86 [95% CI 10.78–36.58]), pharmacy shopping (6.78 [4.13–11.12]), dosage (1.83 [1.16–2.90]), or if the student pharmacist was of female sex (1.73 [1.02–2.93]). Concomitant benzodiazepine use was not associated with a no-fill decision (1.45 [0.92–2.27]). ConclusionThis study reveals that student pharmacists’ decision to fill a prescription is dependent on both prescription characteristics and a patient’s CSP history. The importance of PDMP history cannot be downplayed and suggests that PDMP use may be effective in informing patient care decisions. Still, the variability in filling decision highlights the need to teach a formulaic approach to CSP dispensing in colleges of pharmacy.

Post-traumatic stress disorder and risky opioid use among persons living with HIV and chronic pain

ABSTRACT Persons with HIV (PWH) experience chronic pain and Post-Traumatic Stress Disorder (PTSD) at higher rates than the general population, and more often receive opioid medications to treat chronic pain. A known association exists between PTSD and substance use disorders, but less is known about the relationship between PTSD and risky opioid use among PWH taking prescribed opioid medications. In this observational study of PWH on long-term opioid medications for pain we examined associations between PTSD symptom severity based on the Post Traumatic Stress Disorder Checklist for DSM-5 (PCL-5, response range 0-80) and the following outcomes: 1) risk for opioid misuse (COMM score ≥13); 2) risky alcohol use (AUDIT score ≥8); 3) concurrent benzodiazepine prescription; and 4) morphine equivalent dose. Among 166 patients, 38 (23%) had a PCL-5 score over 38, indicating high PTSD symptom burden. Higher PCL-5 score (per 10 point difference) was associated with increased odds of opioid misuse (aOR 1.55; 95%CI: 1.31-1.83) and risky drinking (aOR: 1.28;1.07-1.52). No significant association was observed between PCL-5 score and benzodiazepine prescriptions or morphine equivalent dose. These findings suggest that when addressing alcohol and opioid use in PWH on long term opioid therapy, attention to PTSD symptoms is especially important given the higher risk for risky alcohol and opioid use among patients with this common comorbid condition.

Opioid prescribing trends in a Veterans Affairs emergency department and dental clinic before and after implementation of opioid-prescribing guidelines.

IntroductionOpioid overdose is highly prevalent among veterans. The Opioid Safety Initiative (OSI) and Centers for Disease Control and Prevention (CDC) issued prescribing guidelines for managing chronic pain. The purpose of this study was to investigate the impact of the 2013 OSI and 2016 CDC guidelines on opioid-prescribing trends in the emergency department and dental clinic within the Veterans Affairs Salt Lake City Health Care System.MethodsIn this retrospective, cohort study, opioid prescriptions were queried from January 1, 2013, through March 31, 2017, and separated into 3 groups: pre-OSI, post-OSI, and post-CDC. The primary outcome was to determine a decrease in opioid prescribing. Secondary outcomes included changes in concurrent benzodiazepine and naloxone prescriptions and prescriber status. Analysis of variance was used to determine a difference between study periods.ResultsThere were 7339 opioid prescriptions identified. A statistically significant difference was found between the 3 groups in average number of opioids prescribed, morphine milligram equivalents per prescription, days' supplied, and medication quantity per prescription (P < .01). There was no significant difference between the 3 groups regarding morphine milligram equivalents per day (P = .24). Benzodiazepine prescribing remained the same. Concurrent naloxone prescriptions increased.DiscussionThe results demonstrate that days' supply, quantity, and morphine milligram equivalent per day in the post-CDC group were consistent with guideline recommendations. Concurrent naloxone prescribing increased throughout all time periods. Implementation of guidelines impacted opioid-prescribing trends, ultimately lessening potential for misuse and abuse. However, there is still need for improvement with reducing concurrent benzodiazepine prescriptions.

Rates and Costs of Dispensing Naloxone to Patients at High Risk for Opioid Overdose in the United States, 2014-2018.

Clinical practice guidelines recommend co-prescribing naloxone to patients at high risk of opioid overdose, but few such patients receive naloxone. High costs of naloxone may contribute to limited dispensing. The aim of this study was to evaluate rates and costs of dispensing naloxone to patients receiving opioid prescriptions and at high risk for opioid overdose. Using claims data from a large US commercial insurance company, we conducted a retrospective cohort study of new opioid initiators between January 2014 and December 2018. We identified patients at high risk for overdose defined as a diagnosis of opioid use disorder, prior overdose, an opioid prescription of ≥ 50mg morphine equivalents/day for ≥ 90days, and/or concurrent benzodiazepine prescriptions. Among 5,292,098 new opioid initiators, 616,444 (12%) met criteria for high risk of overdose during follow-up, and, of those, 3096 (0.5%) were dispensed naloxone. The average copayment was US$24.83 for naloxone (standard deviation [SD] 67.66) versus US$9.74 for the index opioid (SD 19.75). The average deductible was US$6.18 for naloxone (SD 27.32) versus US$3.74 for the index opioid (SD 25.56), with 94% and 88% having deductibles of US$0 for their naloxone and opioid prescriptions, respectively. The average out-of-pocket cost was US$31.01 for naloxone (SD 73.64) versus US$13.48 for the index opioid (SD 34.95). Rates of dispensing naloxone to high risk patients were extremely low, and prescription costs varied greatly. Since improving naloxone's affordability may increase access, whether naloxone's high cost is associated with low dispensing rates should be evaluated.

Prescription of benzodiazepines, z-drugs, and gabapentinoids and mortality risk in people receiving opioid agonist treatment: Observational study based on the UK Clinical Practice Research Datalink and Office for National Statistics death records.

Patients with opioid dependency prescribed opioid agonist treatment (OAT) may also be prescribed sedative drugs. This may increase mortality risk but may also increase treatment duration, with overall benefit. We hypothesised that prescription of benzodiazepines in patients receiving OAT would increase risk of mortality overall, irrespective of any increased treatment duration. Data on 12,118 patients aged 15-64 years prescribed OAT between 1998 and 2014 were extracted from the Clinical Practice Research Datalink. Data from the Office for National Statistics on whether patients had died and, if so, their cause of death were available for 7,016 of these patients. We identified episodes of prescription of benzodiazepines, z-drugs, and gabapentinoids and used linear regression and Cox proportional hazards models to assess the associations of co-prescription (prescribed during OAT and up to 12 months post-treatment) and concurrent prescription (prescribed during OAT) with treatment duration and mortality. We examined all-cause mortality (ACM), drug-related poisoning (DRP) mortality, and mortality not attributable to DRP (non-DRP). Models included potential confounding factors. In 36,126 person-years of follow-up there were 657 deaths and 29,540 OAT episodes, of which 42% involved benzodiazepine co-prescription and 29% concurrent prescription (for z-drugs these respective proportions were 20% and 11%, and for gabapentinoids 8% and 5%). Concurrent prescription of benzodiazepines was associated with increased duration of methadone treatment (adjusted mean duration of treatment episode 466 days [95% CI 450 to 483] compared to 286 days [95% CI 275 to 297]). Benzodiazepine co-prescription was associated with increased risk of DRP (adjusted HR 2.96 [95% CI 1.97 to 4.43], p < 0.001), with evidence of a dose-response effect, but showed little evidence of an association with non-DRP (adjusted HR 0.91 [95% CI 0.66 to 1.25], p = 0.549). Co-prescription of z-drugs showed evidence of an association with increased risk of DRP (adjusted HR 2.75 [95% CI 1.57 to 4.83], p < 0.001) but little evidence of an association with non-DRP (adjusted HR 0.79 [95% CI 0.49 to 1.28], p = 0.342). There was no evidence of an association of gabapentinoid co-prescription with DRP (HR 1.54 [95% CI 0.60 to 3.98], p = 0.373) but evidence of an association with increased non-DRP (HR 1.83 [95% CI 1.28 to 2.62], p = 0.001). Concurrent benzodiazepine prescription also increased mortality risk after consideration of duration of OAT (adjusted HR for DRP with benzodiazepine concurrent prescription 3.34 [95% CI 2.14 to 5.20], p < 0.001). The main limitation of this study is the possibility that unmeasured confounding factors led to an association between benzodiazepine prescription and DRP that is not causal. In this study, co-prescription of benzodiazepine was specifically associated with increased risk of DRP in opioid-dependent individuals. Co-prescription of z-drugs and gabapentinoids was also associated with increased mortality risk; however, for z-drugs there was no evidence for a dose-response effect on DRP, and for gabapentinoids the increased mortality risk was not specific to DRP. Concurrent prescription of benzodiazepine was associated with longer treatment but still increased risk of death overall. Clinicians should be cautious about prescribing benzodiazepines to opioid-dependent individuals.

A statewide comparison of opioid prescribing in teaching versus nonteaching hospitals

Postoperative opioid prescribing is often excessive, but the differences in opioid prescribing between teaching hospitals and nonteaching hospitals is not well understood. Given the workload of surgical training and frequent turnover of prescribers on surgical services, we hypothesized that postoperative opioid prescribing would be higher among teaching compared with nonteaching hospitals. We used insurance claims from a statewide quality collaborative in Michigan to identify 17,075 opioid-naïve patients who underwent 22 surgical procedures across 76 hospitals from 2012 to 2016. Our outcomes included the following: (1) the amount of opioid prescribed for the initial postoperative prescription in oral morphine equivalents and (2) high-risk prescribing in the 30 days after surgery (high daily dose [≥ 100 oral morphine equivalents], new long-acting/extended-release opioid, overlapping prescriptions, or concurrent benzodiazepine prescription). Teaching hospital status was obtained from the 2014 American Hospital Association survey. Multilevel regression was used to adjust for patient and procedural factors and to perform reliability adjustment. The amount of opioid prescribed per initial opioid prescription varied 4.7-fold across all hospitals from 130 oral morphine equivalents to 616 oral morphine equivalents. Patients discharged from teaching hospitals filled larger initial opioid prescriptions overall compared with nonteaching hospitals (251 oral morphine equivalents versus 232 oral morphine equivalents; P = .026). Teaching hospitals had higher risk-adjusted rates of high-risk prescribing compared with nonteaching hospitals (13.7% vs 10.3%; P = .034). In Michigan, surgical patients discharged from teaching hospitals received significantly larger postoperative opioid prescriptions and had higher rates of high-risk prescribing compared with nonteaching hospitals. All hospitals, and particularly teaching institutions, should ensure that adequate resources are devoted to facilitating safe postoperative opioid prescribing.

Race and Gender Are Associated with Opioid Dose Reduction Among Patients on Chronic Opioid Therapy.

Among patients with chronic pain, risk of opioid use is elevated with high opioid dose or concurrent benzodiazepine use. This study examined whether these clinical factors, or sociodemographic factors of race and gender, are associated with opioid dose reduction. A retrospective cohort study of outpatients prescribed chronic opioid therapy between 2007 and 2012 within a large, academic health care system in Bronx, New York, using electronic medical record data. Included patients were prescribed a stable dose of chronic opioid therapy over a one-year "baseline period" and did not have cancer. The primary outcome was opioid dose reduction (≥30% reduction from baseline) within two years. Multivariable logistic regression tested the associations of two clinical variables (baseline daily opioid dose and concurrent benzodiazepine prescription) and two sociodemographic variables (race/ethnicity and gender) with opioid dose reduction. Of 1,097 patients, 463 (42.2%) had opioid dose reduction. High opioid dose (≥100 morphine-milligram equivalents [MME]) was associated with lower odds of opioid dose reduction compared with an opioid dose <100 MME (adjusted odds ratio [AOR] = 0.69, 95% confidence interval [CI] = 0.54-0.89). Concurrent benzodiazepine prescription was not associated with opioid dose reduction. Black (vs white) race and female (vs male) gender were associated with greater odds of opioid dose reduction (AOR = 1.82, 95% CI = 1.22-2.70; and AOR = 1.43, 95% CI = 1.11-1.83, respectively). Black race and female gender were associated with greater odds of opioid dose reduction, whereas clinical factors of high opioid dose and concurrent benzodiazepine prescription were not. Efforts to reduce opioid dose should target patients based on clinical factors and address potential biases in clinical decision-making.

Comparing the prevalence of concurrent benzodiazepine prescription among veterans receiving methadone vs. buprenorphine maintenance therapies

Comparing the prevalence of concurrent benzodiazepine prescription among veterans receiving methadone vs. buprenorphine maintenance therapies

Clinical characteristics of veterans prescribed high doses of opioid medications for chronic non-cancer pain

Little is known about patients prescribed high doses of opioids to treat chronic non-cancer pain, though these patients may be at higher risk for medication-related complications. We describe the prevalence of high-dose opioid use and associated demographic and clinical characteristics among veterans treated in a VA regional healthcare network. Veterans with chronic non-cancer pain prescribed high doses of opioids (⩾180mg/day morphine equivalent; n=478) for 90+ consecutive days were compared to two groups with chronic pain: Traditional-dose (5–179mg/day; n=500) or no opioid (n=500). High-dose opioid use occurred in 2.4% of all chronic pain patients and in 8.2% of all chronic pain patients prescribed opioids long-term. The average dose in the high-dose group was 324.9 (SD=285.1)mg/day. The only significant demographic difference among groups was race (p=0.03) with black veterans less likely to receive high doses. High-dose patients were more likely to have four or more pain diagnoses and the highest rates of medical, psychiatric, and substance use disorders. After controlling for demographic factors and VA facility, neuropathy, low back pain, and nicotine dependence diagnoses were associated with increased likelihood of high-dose prescriptions. High-dose patients frequently did not receive care consistent with treatment guidelines: there was frequent use of short-acting opioids, urine drug screens were administered to only 25.7% of patients in the prior year, and 32.0% received concurrent benzodiazepine prescriptions, which may increase risk for overdose and death. Further study is needed to identify better predictors of high-dose usage, as well as the efficacy and safety of such dosing.

Characterizations of Long-term Oxycodone/Acetaminophen Prescriptions in Veteran Patients

Long-term management of chronic pain with opioids may be stable over time or may be complicated by problematic dose increases, drug dependencies, and toxic effects. To determine clinical contexts in which stability or problems may occur, we examined the pharmacologic and clinical correlates of long-term prescriptions of oxycodone/acetaminophen, a commonly prescribed short-acting opioid formulation. We analyzed linked, archival outpatient pharmacy and clinical databases from the New England Veterans Integrated Service Network between January 1, 1998, and June 30, 2001. Durations, doses, and dose changes of oxycodone/acetaminophen prescriptions and concurrent use of long-acting opioids, benzodiazepines, tricyclic antidepressants, and anticonvulsants were determined. In aggregate, 2195 patients (31% with cancer diagnoses per the International Classification of Diseases, Ninth Revision, Clinical Modification) received oxycodone/acetaminophen for more than 9 months at a mean prescribed daily dose of 3.9 tablets per day (range, 0.5-13.0 tablets per day) with minimal changes in daily prescribed mean dose over time. Patients with cancer were more likely than other patients to receive concurrent long-acting opioids. For patients without cancer, a higher mean daily dose was associated with duration, older age, human immunodeficiency virus (HIV) and/or AIDS, and with prescribed benzodiazepines and long-acting opioids; concurrent benzodiazepine prescriptions were associated with anticonvulsant prescriptions and with psychogenic pain and alcohol abuse and/or dependence diagnoses. In veteran patients who received long-term oxycodone/acetaminophen prescriptions, mean daily doses were typically modest and stable, likely reflecting a selection of patients with successful, long-term management. Among patients without cancer, however, associations of higher oxycodone/acetaminophen doses with benzodiazepine prescriptions, psychogenic pain, alcohol abuse, and HIV/AIDS may portend opioid prescription management problems.