Factors associated with changes in opioid analgesic prescribing after opioid agonist treatment initiation: A nationwide registry cohort study.

To investigate the proportion of patients with low back pain who receive an opioid analgesic prescription on hospital discharge, the proportion using opioid analgesics 4 weeks after discharge, and to identify predictors of continued opioid analgesic use at 4 weeks after an ED presentation in opioid-naïve patients. An observational cohort study nested within a randomised controlled trial in four EDs in New South Wales, Australia. Participants were adults who presented to the ED with non-specific low back pain or low back pain with lower limb neurological signs and symptoms. Electronic medical records supplemented the patient-reported pain and use of opioid analgesics at 4-week follow up. Of the 104 patients included, 33 (31.7%, 95% confidence interval [CI] 22.9-41.6) received an opioid analgesic prescription at hospital discharge and 38 (36.5%, 95% CI 27.3-46.6) reported taking an opioid analgesic for pain 4 weeks after the ED presentation. Among opioid-naïve patients (n=85), older age (odds ratio [OR] 1.04, 95% CI 1.00-1.08, P =0.031) was the only predictor for continued opioid analgesic use at 4 weeks post-ED presentation. About one-third of patients who present to the ED with low back pain receive an opioid analgesic prescription on discharge and are taking an opioid analgesic 4 weeks later. These findings justify future research to identify strategies to reduce the risk of long-term opioid use in patients who present to the ED with low back pain.

BackgroundStudies investigating mortality risk associated with use of opioid analgesics, benzodiazepines, gabapentinoids, and opioid agonist treatment (OAT) among people with opioid dependence (PWOD) are lacking. This study addresses this gap using a cohort of 37,994 PWOD initiating opioid analgesics between July 2003 and July 2018 in New South Wales, Australia. MethodsLinked administrative records provided data on dispensings, sociodemographics, clinical characteristics, OAT, and mortality. Cox proportional hazards models assessed associations between time-varying measures of individual and concurrent medicine use and OAT with all-cause mortality, accidental opioid overdose, non-drug induced accidents, and non-drug-induced suicide. Opioid analgesic dose effects, expressed as oral morphine equivalents (OMEs) per day, were also examined. OutcomesDuring the study period, 3167 individuals died. Compared with no use, all medicines of interest were associated with increased accidental opioid overdose risk; hazard ratios (HR) ranged from 1.33 (95 % CI: 1.05–1.68) for opioid analgesic use to 6.10 (95 % CI: 4.11–9.06) for opioid analgesic, benzodiazepine and gabapentinoid use. Benzodiazepine use was associated with increased non-drug-induced accidents and non-drug-induced suicides. For all-cause mortality, all combinations of benzodiazepines and gabapentinoids with opioid analgesics were associated with increased risk (aHRs ranged from 1.35 to 2.73). For most medicines/medicine combinations, all-cause mortality risk was reduced when in OAT compared to out of OAT. Higher opioid analgesic doses were associated with increased all-cause mortality (e.g., 90–199 mg vs 1–49 mg OME per day: HR 1.90 [95 % CI: 1.52–2.40]). InterpretationThe increased mortality risk associated with benzodiazepines and gabapentinoids among PWOD appear to be reduced when engaged in OAT. A greater focus on encouraging OAT engagement, providing overdose prevention education, and access and coverage of overdose antidotes is necessary to minimise the unintended consequences of medicines use in this population.

Perioperative Opioid Analgesics and Hip Arthroscopy: Trends, Risk Factors for Prolonged Use, and Complications

In Europe and France, the use of opioid analgesic drugs has become widespread as an option for pain management. However, their use can lead to nonmedical use and/or opioid use disorder (OUD). This work aimed to assess the perceived risk of OUD secondary to opioid analgesic drugs use by the general population. We conducted a cross-sectional observational study using the GrippeNet web-based cohort, comprising about 10,000 French volunteers from the general population, using a self-administered questionnaire. The main outcome was the perceived risk of OUD secondary to opioid analgesic drugs use, assessed by a 4-item scale and modelled using logistic regression (backward procedure). Among 5046 French respondents, after adjustment, 65% believed that the use of analgesic drugs could likely or very likely lead to OUD. Factors associated with the perception of a higher risk were being over 50 and having heard about opioids in the media. Previous opioid use and a high level of education decreased the perception of the risk. Among those having used opioids in the past 2years (N=1770), 71.1% reported being not at all concerned by this risk. The majority of the sample perceived the risk of OUD but those having already used opioid analgesics drugs expressed no concern about this risk for themselves. This finding highlight the need to reinforce warning on the package insert documents, therapeutic education and collaborative care between the prescribing general practitioners and pharmacists to increase awareness of opioid medications users on the risk of OUD. This study found that the risk of OUD secondary to opioid analgesics use is well perceived in the general population, but that those having already used opioid analgesics expressed little concern for themselves. This finding could potentially help to raise awareness of healthcare providers and policy makers on the lack of perceived risk regarding these drugs and the need to inform and identify at-risk patients in primary care.

Therapeutic Interactive Voice Response (TIVR) to Reduce Analgesic Medication Use for Chronic Pain Management

BackgroundDue to the high prevalence of mental disorders among people with opioid use disorder, the objective of this study was to determine the association between concurrent mental disorders, mortality, morbidity, and continuous treatment retention for patients in opioid agonist treatment in Ontario, Canada.MethodsWe conducted a retrospective cohort study of patients enrolled in opioid agonist treatment between January 1, 2011, and December 31, 2015. Patients were stratified into two groups: those diagnosed with concurrent mental disorders and opioid use disorder and those with opioid use disorder only, using data from the Ontario Health Insurance Plan Database, Ontario Drug Benefit Plan Database. The primary outcome studied was all-cause mortality using data from the Registered Persons Database. Emergency department visits from the National Ambulatory Care Database, hospitalizations Discharge Database, and continuous retention in treatment, defined as 1 year of uninterrupted opioid agonist treatment using data from the Ontario Drug Benefit Plan Database were measured as secondary outcomes. Encrypted patient identifiers were used to link information across databases.ResultsWe identified 55,924 individuals enrolled in opioid agonist treatment, and 87% had a concurrent mental disorder diagnosis during this period. We observed that having a mental disorder was associated with an increased likelihood of all-cause mortality (odds ratio (OR) 1.4; 95% confidence interval (CI) 1.2–1.5). For patients diagnosed with mental disorders, the estimated rate of ED visits per year was 2.25 times higher and estimated rate of hospitalization per year was 1.67 times higher than for patients with no mental disorders. However, there was no association between having a diagnosis of a mental disorder and 1-year treatment retention in OAT-adjusted hazard ratio (HR) = 1.0; 95% CI 0.9 to 1.1.ConclusionOur findings highlight the consequences of the high prevalence of mental disorders for individuals with opioid use disorder in Ontario, Canada.

BACKGROUND: In the United States, asthma occurs in a vast proportion of children and adolescents. Asthma exacerbation is an acute episodic event typically characterized by difficulty in breathing, chest tightness, coughing, or wheezing. Severe asthma exacerbation can be life-threatening and lead to service utilizations such as hospitalizations and emergency department (ED) visits. Opioid analgesic use can trigger an asthma exacerbation through 2 pharmacological mechanisms. Despite the potential mechanisms, there is lack of empirical evidence to determine the risk of asthma exacerbation and its association with opioid use. OBJECTIVE: To evaluate the risk of asthma exacerbation in children with current asthma receiving an opioid vs a nonopioid analgesic. METHODS: Eligible individuals aged under 18 years with current asthma and receiving an incident analgesic prescription were identified from a large Medicaid managed care database during 2013-2018. Current asthma was defined as receipt of an asthma diagnosis and an antiasthmatic medication in the 12 months before analgesic medication initiation. Asthma exacerbation was defined as a hospitalization or ED visit with asthma as either the primary or secondary diagnosis within 3 days of receipt of an analgesic prescription. A weighted multivariable logistic regression using inverse probability treatment weighting was performed to test the association between use of analgesic medication and risk of asthma exacerbation. RESULTS: This study included 13,359 children with current asthma who filled either an incident opioid (n = 5,363, 40.1%) or nonopioid analgesic (n = 7,996, 59.9%) prescription. Asthma exacerbation was observed in 24 (0.5%) opioid analgesic recipients and 22 (0.3%) nonopioid analgesic recipients within 3 days of analgesic initiation. Weighted logistic regression results showed that children receiving opioid analgesics (adjusted odds ratio = 1.6, 95% CI = 0.9-2.9) did not have a statistically significantly higher risk of asthma exacerbation than their nonopioid analgesic recipient counterparts in the propensity score-weighted multivariable analysis. CONCLUSIONS: Asthma exacerbation associated with analgesic use in children with current asthma was an uncommon event, and the risk was comparable among children receiving opioid vs nonopioid analgesics. DISCLOSURES: This study was supported and funded by the Agency for Healthcare Research and Quality (AHRQ), Project Number: 1R03HS026790-01A1. The study content was solely the responsibility of the authors, and AHRQ had no role in the design and conduct of the study. The authors have nothing to disclose.

BackgroundAs dispensings for benzodiazepines and gabapentinoids have increased in recent years, risk of increased mortality has been identified, particularly when used with opioids. There is limited research examining use of these medicines among people with opioid dependence and whether mortality risk varies according to opioid agonist treatment (OAT) status. This study characterizes patterns of opioid analgesic utilization and concomitant use of benzodiazepines, gabapentinoids and OAT among people with opioid dependence initiating opioid analgesics. It also assesses mortality risk associated with exposure to these medicines. MethodsRetrospective cohort study in New South Wales, Australia, including 28,891 people with documented opioid dependence initiating opioid analgesics between July 2003 and December 2018. Linked administrative records provided data on prescription dispensings, sociodemographics, clinical characteristics, OAT and mortality. Generalised estimating equation models estimated incidence rate ratios (IRR) comparing periods in and out of OAT for the number of opioid analgesic dispensings. Periods of concomitant use of opioid analgesics, benzodiazepines, gabapentinoids, and OAT were identified. Cox models assessed associations between concomitant medicines use with mortality risk. ResultsAt the time of opioid analgesic initiation, 43.7% of the cohort were in OAT. The most commonly initiated opioid was codeine (67.8%). In the 90 days prior to the index opioid dispensing, benzodiazepines were more frequently dispensed than gabapentinoids, but rates varied over time. Between 2004 and 2018, benzodiazepine dispensings decreased (41.7% to 21.1%) while gabapentinoid dispensings increased (0.2% to 7.9%). Incidence of opioid analgesic dispensings was higher during periods out of OAT compared to in OAT (5.8 v. 2.3 per person-year; IRR 0.39, 95% CI 0.38, 0.41). Analyses investigating associations between medicine exposure and mortality are ongoing. ConclusionPeople with opioid dependence had high rates of recent benzodiazepine utilization and current OAT enrollment at the time of opioid analgesic initiation. OAT was associated with a significant reduction in opioid analgesic prescribing.

The paradox of decreasing nonmedical opioid analgesic use and increasing abuse or dependence — An assessment of demographic and substance use trends, United States, 2003–2014

Recent measures to curb use and harms of pharmaceutical opioids in Australia have reduced dispensings of opioid analgesics for pain, under Australia's Pharmaceutical Benefits Scheme (PBS). But information on trends in private (self-funded) dispensings and public (government-funded) hospital opioids use is not readily available. Our study describes eight-year population-level trends in Australia's prescribed opioid analgesic use, estimating PBS dispensing claims, private dispensings and hospital use. Our descriptive study used two datasets covering 2015 to 2022: national IQVIA data on all (PBS/private) pharmaceutical sales to community pharmacies, hospitals and other settings, and PBS dispensing claims data for a 10 % sample of Australian residents, extrapolated to estimate national PBS claims. We measured total units of each opioid sold/dispensed, converted into oral morphine equivalent milligrams (OME)/1000 population/day. We estimated private dispensings/public hospitals use by subtracting PBS OME from total OME sold. We calculated hospital OME using sales to hospitals. We assessed annual trends using Joinpoint regression. Between 2015 and 2022 total prescribed opioid analgesic use decreased by 21.2 % , from 1231.4 to 970.6 OME/1000/day (-3.4% per year, p < 0.001). Between 2015 and 2022, PBS dispensing claims decreased by -353.4 OME/1000/day, from 1061.7 to 708.4 OME/1000/day (-5.9 % per year; p < 0.001). In contrast, private dispensings/public hospital use increased by +92.5 OME/1000/day, from 169.7 to 262.3 OME/1000/day (+6.7 % per year; p < 0.001). The contribution of private dispensings/public hospital use to total prescribed opioid analgesic use doubled between 2015 and 2022 from 13.8 % to 27.0 %. Opioid use in hospitals remained stable (-1.1 % per year, p = 0.07), accounting for 8 to 10 % of total use between 2015 and 2022. Prescribed opioid analgesic use declined between 2015 and 2022 because of reductions in PBS dispensing claims. A quarter of the reduction in PBS dispensing claims was offset by use outside the PBS. Our findings indicate a significant increase in private use, reasons for which may include accessing opioids not PBS-subsidised and circumventing PBS restrictions for PBS-subsidised opioids. Comparing multiple data sources provides a comprehensive account of prescribed opioid analgesic use in Australia.

BackgroundMental disorders pose a high risk for the occurrence of sexual dysfunctions (SD). This study aimed to investigate prevalence of risk factors and help-seeking behavior for sexual dysfunctions in patients with opioid use disorder compared to patients seeking psychotherapeutic help.MethodsNinety-seven patients at two opioid agonist treatment (OAT) centers and 65 psychotherapeutic patients from a psychiatric practice (PP) in Switzerland were included in the study. Self-report assessments comprised sexual functioning (IIEF: International Index of Erectile Function; FSFI: Female Sexual Function Index), depressive state, psychological distress, alcohol consumption, nicotine use, and a self-designed questionnaire on help-seeking behavior. We used chi-squared and Mann–Whitney U tests for group comparisons and binary logistic regression models to identify variables predicting the occurrence of sexual dysfunctions.ResultsThere was no statistically significant difference (p = 0.140) in the prevalence of SD between OAT (n = 64, 66.0%) and PP sample (n = 35, 53.8%). OAT patients scored significantly higher in scales assessing nicotine use (p < 0.001) and depressive state (p = 0.005). Male OAT patients scored significantly worse on the Erectile Function scale (p = 0.005) and female PP patients scored significantly worse on the FSFI Pain domain (p = 0.022). Opioid use disorder, higher age, and being female predicted the occurrence of SD in the total sample. In the OAT sample, only higher age remained predictive for the occurrence of SD. A lack of help-seeking behavior was observed in both groups, with only 31% of OAT patients and 35% of PP patients ever having talked about their sexual health with their treating physician.ConclusionSD are common among psychiatric patients receiving OAT and general psychiatric patients seeking psychotherapy. Professionals providing mental healthcare to patients must emphasize prevention and routine assessments of sexual functioning needs.

Prescription opioid analgesic use has quintupled recently. Evidence linking opioid use with depression emanates from animal models and studies of persons with co-occurring substance use and major depression. Little is known about depressogenic effects of opioid use in other populations. The purpose of this study was to determine whether prescription opioids are associated with increased risk of diagnosed depression. Retrospective cohort study, new user design. Medical record data from 49,770 US Department of Veterans Affairs (VA) health care system patients with no recent (24-month) history of opioid use or a diagnosis of depression in 1999 and 2000. Propensity scores were used to control for bias by indication, and the data were weighted to balance the distribution of covariates by duration of incident opioid exposure. Cox proportional hazard models with adjustment for painful conditions were used to estimate the association between duration of prescription opioid use and the subsequent risk of development of depression between 2001 and 2007. Of 49,770 patients who were prescribed an opioid analgesic, 91 % had a prescription for < 90 days, 4 % for 90-180 days, and 5 % for > 180 days. Compared to patients whose prescription was for < 90 days, the risk of depression increased significantly as the duration of opioid prescription increased (HR = 1.25; 95 % CI: 1.05-1.46 for 90-180 days, and HR = 1.51; 95 % CI:1.31-1.74 for > 180 days). In this sample of veterans with no recent (24-month) history of depression or opioid analgesic use, the risk of development of depression increased as the duration of opioid analgesic exposure increased. The potential for depressogenic effect should be considered in risk-benefit discussions, and patients initiating opioid treatment should be monitored for development of depression.

IntroductionIn the USA, opioid analgesic use and overdoses have increased dramatically. One rapidly expanding strategy to manage chronic pain in the context of this epidemic is medical cannabis. Cannabis has...

This systematic review synthesizes evidence on patient-reported outpatient opioid analgesic use after surgery. We searched PubMed (February 2019) and Web of Science and Embase (June 2019) for U.S. studies describing patient-reported outpatient opioid analgesic use. Two reviewers extracted data on opioid analgesic use, standardized the data on use , and performed independent quality appraisals based on the Cochrane Risk of Bias Tool and an adapted Newcastle-Ottawa scale. Ninety-six studies met the eligibility criteria; 56 had sufficient information to standardize use in oxycodone 5-mg tablets. Patient-reported opioid analgesic use varied widely by procedure type; knee and hip arthroplasty had the highest postoperative opioid use, and use after many procedures was reported as <5 tablets. In studies that examined excess tablets, 25-98% of the total tablets prescribed were reported to be excess, with most studies reporting that 50-70% of tablets went unused. Factors commonly associated with higher opioid analgesic use included preoperative opioid analgesic use, higher inpatient opioid analgesic use, higher postoperative pain scores, and chronic medical conditions, among others. Estimates also varied across studies because of heterogeneity in study design, including length of follow-up and inclusion/exclusion criteria. Self-reported postsurgery outpatient opioid analgesic use varies widely both across procedures and within a given procedure type. Contributors to within-procedure variation included patient characteristics, prior opioid use, intraoperative and perioperative factors, and differences in the timing of opioid use data collection. We provide recommendations to help minimize variation caused by study design factors and maximize interpretability of forthcoming studies for use in clinical guidelines and decision-making.

Background: The epidemic of medical use and abuse of opioid analgesics is linked to the economic burden of opioid-related abuse and fatalities in the United States. Multiple studies have estimated the extent to which prescription opioid analgesics contribute to the national drug abuse problem; studies also assessing the trends in medical use and abuse of opioid analgesics have confirmed the relationship between increasing medical use of opioids and increasing fatalities. The available data is limited until 2002.. Study Design: Retrospective analysis of data from 2004 to 2011 from 2 databases: Automation of Reports and Consolidated Orders System (ARCOS) for opioid use data and Drug Abuse Warning Network (DAWN) for drug misuse data. Objective: To determine the proportion of drug abuse related to opioid analgesics and the various trends in the medical use and abuse of 8 opioid analgesics commonly used to treat pain: buprenorphine, codeine, fentanyl, hydrocodone, hydromorphone, methadone, morphine, and oxycodone. Methods: The data obtained from DAWN is a nationally representative sample of hospital emergency department admissions resulting from drug abuse. Main outcome measure was the identification of trends in the medical use and misuse of opioid analgesics from 2004 to 2011. Results: From 2004 to 2011, there was an increase in the medical use of all opioids except for a 20% decrease in codeine. The abuse of all opioids including codeine increased during this period. Increases in medical use ranged from 2,318% for buprenorphine to 35% for fentanyl, including 140% for hydromorphone, 117% for oxycodone, 73% for hydrocodone, 64% for morphine, and 37% for methadone. The misuse increased 384% for buprenorphine with available data from 2006 to 2011, whereas from 2004 to 2011, it increased 438% for hydromorphone, 263% for oxycodone, 146% for morphine, 107% for hydrocodone, 104% for fentanyl, 82% for methadone, and 39% for codeine. Comparison of opioid use showed an overall increase of 1,448% from 1996 to 2011, with increases if 690% from 1996 to 2004 and 100% from 2004 to 2011. In contrast, misuse increased more dramatically: 4,680% from 1996 to 2011, with increases of 1,372% from 1996 through 2004 and 245% from 2004 to 2011. The number of patients seeking rehabilitation for substance abuse also increased 187% for opioids, whereas it increased 87% for heroin, 40% for marijuana, and decreased 7% for cocaine. Limitations: Limitations of this assessment include the lack of data from 2003, lack of data available on meperidine, and that the aggregate data systems used in the study did not identify specific formulations or commercial products. Conclusion: The present trend of continued increase in the medical use of opioid analgesics appears to contribute to increases in misuse, resulting in multiple health consequences. Key words: Medical use of opioids, inappropriate use of opioids, abuse of opioids, opioid-related fatalities, Automation of Reports and Consolidated Orders System (ARCOS), Drug Abuse Warning Network (DAWN), International Narcotics Control Board (INCB)