Prescription opioid treatment for non-cancer pain and initiation of injection drug use: large retrospective cohort study (original) (raw)
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Illicit opioid use following changes in opioids prescribed for chronic non-cancer pain
PLOS ONE, 2020
Background After decades of increased opioid pain reliever prescribing, providers are rapidly reducing prescribing. We hypothesized that reduced access to prescribed opioid pain relievers among patients previously reliant upon opioid pain relievers would result in increased illicit opioid use. Methods and findings We conducted a retrospective cohort study among 602 publicly insured primary care patients who had been prescribed opioids for chronic non-cancer pain for at least three consecutive months in San Francisco, recruited through convenience sampling. We conducted a historical reconstruction interview and medical chart abstraction focused on illicit substance use and opioid pain reliever prescriptions, respectively, from 2012 through the interview date in 2017-2018. We used a nested-cohort design, in which patients were classified, based on opioid pain reliever dose change, into a series of nested cohorts starting with each follow-up quarter. Using continuation-ratio models, we estimated associations between opioid prescription discontinuation or 30% increase or decrease in dose, relative to no change, and subsequent frequency of heroin and non-prescribed opioid pain reliever use, separately. Models controlled for demographics, clinical and behavioral characteristics, and past use of heroin or non-prescribed opioid pain relievers. A total of 56,372 and 56,484 participant-quarter observations were included from the 597 and 598 participants available for analyses of heroin and non-prescribed opioid pain reliever outcomes, respectively. Participants discontinued from prescribed opioids were more likely to use heroin (Adjusted Odds Ratio (AOR) = 1.57, 95% CI: 1.25-1.97) and non-prescribed opioid pain relievers (AOR = 1.75, 1.45-2.11) more frequently in subsequent quarters compared to participants with unchanged opioid prescriptions. Participants whose opioid pain reliever dose increased were more likely to use heroin more frequently (AOR = 1.67, 1.32-2.12). Results held throughout sensitivity analyses. The main limitations were the observational nature of results and limited generalizability beyond safety-net settings.
2014
Background. The Opioid Risk Tool (ORT) is a screening instrument for assessing the risk of opioid-related aberrant behavior in chronic noncancer pain (CNCP) patients. Objective. This study aims to compare patient characteristics documented in the original ORT study with those identified in CNCP patients assessed using a physician-administered ORT in a tertiary care pain clinic in Toronto, Canada. Methodology. This was a descriptive crosssectional study of 322 consecutive new patients referred over 12 months. Data extraction included ORT scores, demographics, pain ratings, opioid, and other medication use at point of entry, diagnosis, and other variables. Characteristics were compared with those described in the original ORT study. Results. The total mean ORT scores of patients in this study were related to several demographic (gender, age, marital status, and country of birth) and nondemographic variables (employment status, cigarette smoking, and contribution of biomedical and/or psychological factors to presentation). Prevalence of characteristics noted in this patient sample differed substantially from that found in Webster and Webster as the basis for ORT scores. Conclusion. Significant differences existed between this study population and the patient sample from which the ORT was derived. Limitations of this study are discussed. We concur with the authors of the original study that the ORT may not be applicable in different pain populations and settings. Based on our findings, we encourage caution in interpreting the ORT in general CNCP settings until further studies are performed.
The Journal of Pain, 2017
The relationships of characteristics of the initial opioid prescription and pain etiology with the probability of opioid discontinuation were explored in this retrospective cohort study using health insurance claims data from a nationally representative database of commercially insured patients in the U.S. We identified 1,353,902 persons aged ≥14 with no history of cancer or substance abuse, with new opioid use episodes and categorized them into 11 mutually exclusive pain etiologies. Cox Proportional Hazards models were estimated to identify factors associated with time to opioid discontinuation. After accounting for losses to follow-up, the probability of continued opioid use at one year was 5.3% across all subjects. Patients with chronic pain had the highest probability for continued opioid use followed by patients with inpatient admissions. Patients prescribed doses above 90 morphine milligram equivalents (HR=0.91, CI: 0.91-0.92); initiated on tramadol (HR=0.90, CI: 0.89-0.91) or long-acting opioids (HR=0.78, CI: 0.75-0.80); were less likely to discontinue opioids. Increasing days' supply of the first prescription was consistently associated with a lower likelihood of opioid discontinuation (HRs, CIs: 3-4 days' supply = 0.70, 0.70-0.71; 5-7 days' supply = 0.48, 0.47-0.48; 8-10 days' supply = 0.37, 0.37-0.38; 11-14 days' supply = 0.32, 0.31-0.33; 15-21 days' supply = 0.29, 0.28-0.29; ≥22 days supplied = 0.20, 0.19-0.20). The direction of this relationship was consistent across all pain etiologies. Clinicians should initiate patients with the lowest supply of opioids to mitigate unintentional long term opioid use. PERSPECTIVE: This study shows that characteristics of the first opioid prescription, particularly duration of the prescription, are significant predictors of continued opioid use irrespective of the indication for an opioid prescription. These data should encourage prescribers to initiate
Cohort protocol paper: The Pain and Opioids In Treatment (POINT) study
BMC Pharmacology and Toxicology, 2014
Background: Internationally, there is concern about the increased prescribing of pharmaceutical opioids for chronic non-cancer pain (CNCP). In part, this is related to limited knowledge about the long-term benefits and outcomes of opioid use for CNCP. There has also been increased injection of some pharmaceutical opioids by people who inject drugs, and for some patients, the development of problematic and/or dependent use. To date, much of the research on the use of pharmaceutical opioids among people with CNCP, have been clinical trials that have excluded patients with complex needs, and have been of limited duration (i.e. fewer than 12 weeks). The Pain and Opioids In Treatment (POINT) study is unique study that aims to: 1) examine patterns of opioid use in a cohort of patients prescribed opioids for CNCP; 2) examine demographic and clinical predictors of adverse events, including opioid abuse or dependence, medication diversion, other drug use, and overdose; and 3) identify factors predicting poor pain relief and other outcomes. Methods/Design: The POINT cohort comprises around 1,500 people across Australia prescribed pharmaceutical opioids for CNCP. Participants will be followed-up at four time points over a two year period. POINT will collect information on demographics, physical and medication use history, pain, mental health, drug and alcohol use, non-adherence, medication diversion, sleep, and quality of life. Data linkage will provide information on medications and services from Medicare (Australia's national health care scheme). Data on those who receive opioid substitution therapy, and on mortality, will be linked.
July 2012, 2012
Both chronic pain and prescription opioid abuse are prevalent and continue to exact a heavy toll on patients, physicians, and society. Individuals with chronic pain and co-occurring substance use disorders and/or mental health disorders, are at a higher risk for misuse of prescribed opioids. Opioid abuse and misuse occurs for a variety of reasons, including self medication, use for reward, compulsive use because of addiction, and diversion for profit. Treatment approaches that balance treating chronic pain while minimizing risks for opioid abuse, misuse, and diversion are much needed. The use of chronic opioid therapy for chronic noncancer pain has increased dramatically in the past 2 decades in conjunction with a marked increase in the abuse of prescribed opioids and accidental opioid overdoses. Consequently, a validated screening instrument that provides an effective and rational method of selecting patients for opioid therapy, predicting risk, and identifying problems once they a...
PAIN, 2008
Opioids are widely prescribed for non-cancer pain conditions (NCPC), but there have been no large observational studies in actual clinical practice assessing patterns of opioid use over extended periods of time. The TROUP (Trends and Risks of Opioid Use for Pain) study reports on trends in opioid therapy for NCPC in two disparate populations, one national and commercially insured (HealthCore Blue Cross and Blue Shield plans) and one state-based and publicly-insured (Arkansas Medicaid) population over a six year period (2000)(2001)(2002)(2003)(2004)(2005). We track enrollees with the four most common NCPC conditions: arthritis/joint pain, back pain, neck pain, headaches, as well as HIV/AIDS. Rates of NCPC diagnosis and opioid use increased linearly during this period in both groups, with the Medicaid group starting at higher rates and the HealthCore group increasing more rapidly. The proportion of enrollees receiving NCPC diagnoses increased (HealthCore 33%, Medicaid 9%), as did the proportion of enrollees with NCPC diagnoses who received opioids (HealthCore 58%, Medicaid 29%). Cumulative yearly opioid dose (in mg. morphine equivalents) received by NCPC patients treated with opioids increased (HealthCore 38%, Medicaid 37%) due to increases in number of days supplied rather than dose per day supplied. Use of short-acting Drug Enforcement Administration Schedule II opioids increased most rapidly, both in proportion of NCPC patients treated (HealthCore 54%, Medicaid 38%) and in cumulative yearly dose (HealthCore 95%, Medicaid 191%). These trends have occurred without any significant change in the underlying population prevalence of NCPC or new evidence of the efficacy of long-term opioid therapy and thus likely represent a broad-based shift in opioid treatment philosophy.
Predictors of opioid misuse in patients with chronic pain: a prospective cohort study
2006
Background: Opioid misuse can complicate chronic pain management, and the non-medical use of opioids is a growing public health problem. The incidence and risk factors for opioid misuse in patients with chronic pain, however, have not been well characterized. We conducted a prospective cohort study to determine the one-year incidence and predictors of opioid misuse among patients enrolled in a chronic pain disease management program within an academic internal medicine practice. Methods: One-hundred and ninety-six opioid-treated patients with chronic, non-cancer pain of at least three months duration were monitored for opioid misuse at pre-defined intervals. Opioid misuse was defined as: 1. Negative urine toxicological screen (UTS) for prescribed opioids; 2. UTS positive for opioids or controlled substances not prescribed by our practice; 3. Evidence of procurement of opioids from multiple providers; 4. Diversion of opioids; 5. Prescription forgery; or 6. Stimulants (cocaine or amphetamines) on UTS. Results: The mean patient age was 52 years, 55% were male, and 75% were white. Sixty-two of 196 (32%) patients committed opioid misuse. Detection of cocaine or amphetamines on UTS was the most common form of misuse (40.3% of misusers). In bivariate analysis, misusers were more likely than non-misusers to be younger (48 years vs 54 years, p < 0.001), male (59.6% vs. 38%; p = 0.023), have past alcohol abuse (44% vs 23%; p = 0.004), past cocaine abuse (68% vs 21%; p < 0.001), or have a previous drug or DUI conviction (40% vs 11%; p < 0.001%). In multivariate analyses, age, past cocaine abuse (OR, 4.3), drug or DUI conviction (OR, 2.6), and a past alcohol abuse (OR, 2.6) persisted as predictors of misuse. Race, income, education, depression score, disability score, pain score, and literacy were not associated with misuse. No relationship between pain scores and misuse emerged.
Opioid Use as a Predictor of Health Care Use and Pain Outcomes: Analysis of Clinical Trial Data
Pain medicine (Malden, Mass.), 2016
Objective. To examine effects of pre-enrollment opioid use on outcomes of a 12-month collaborative pain care management trial. We hypothesized that participants with opioid use would have worse pain at baseline; use more health care services and analgesics; and have worse pain outcomes during the trial. Design. Secondary analysis of randomized controlled trial data.