Association between cannabis laws and opioid prescriptions among privately insured adults in the US.
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ABSTRACT:
SUBMITTER: Raji MA
PROVIDER: S-EPMC6582995 | biostudies-literature | 2019 Aug
REPOSITORIES: biostudies-literature
Publications
Association between cannabis laws and opioid prescriptions among privately insured adults in the US.
Raji Mukaila A MA Abara N Ogechi NO Salameh Habeeb H Westra Jordan R JR Kuo Yong-Fang YF
Preventive medicine 20190521
We examine the association between opioid prescription patterns in privately insured adults and changes in state cannabis laws among five age groups (18-25, 26-35 36-45, 46-55 and 56-64 years). Using the 2016 Clinformatics Data Mart, a nationwide commercial health insurance database, we performed a cross-sectional analysis of two types of opioid prescribing (>30-day and >90-day prescriptions) among all adults aged 18-64 based on the stringency of cannabis laws. We found a significant interaction ...[more]
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Project description:ImportanceHigh-dose and long-duration opioid prescriptions remain relatively common among children and adolescents, but there is insufficient research on the association of state laws limiting the dose and/or duration of opioid prescriptions (referred to as opioid prescribing cap laws) with opioid prescribing for this group.ObjectiveTo examine the association between state opioid prescribing cap laws and the receipt of opioid prescriptions among children and adolescents.Design setting and participantsThis repeated cross-sectional study used a difference-in-differences approach accounting for staggered policy adoption to assess the association of state opioid prescribing cap laws in the US from January 1, 2013, to December 31, 2019, with receipt of opioid prescriptions among children and adolescents. Analyses were conducted between March 22 and December 15, 2021. Data were obtained from the OptumLabs Data Warehouse, a national commercial insurance claims database. The analysis included 482 118 commercially insured children and adolescents aged 0 to 17 years with full calendar-year continuous insurance enrollment between 2013 and 2019. Individuals were included for every year in which they were continuously enrolled; they did not need to be enrolled for the entire 7-year study period. Those with any cancer diagnosis were excluded from analysis.ExposureImplementation of a state opioid prescribing cap law between January 1, 2017, and July 1, 2019. This date range allowed analysis of the same number years for both pre-cap and post-cap data.Main outcomes and measuresOutcomes of interest included receipt of any opioid prescription and, among those with at least 1 opioid prescription, the mean number of opioid prescriptions, mean morphine milligram equivalents (MMEs) per day, and mean days' supply.ResultsAmong 482 118 children and adolescents (754 368 person-years of data aggregated to the state-year level), 245 178 (50.9%) were male, with a mean (SD) age of 9.8 (4.8) years at the first year included in the sample (data on race and ethnicity were not collected as part of this data set, which was obtained from insurance billing claims). Overall, 10 659 children and adolescents (2.2%) received at least 1 opioid prescription during the study period. Among those with at least 1 prescription, the mean (SD) number of filled opioid prescriptions was 1.2 (0.8) per person per year. No statistically significant association was found between state opioid prescribing cap laws and any outcome. After opioid prescribing cap laws were implemented, a -0.001 (95% CI, -0.005 to 0.002) percentage point decrease in the proportion of youths receiving any opioid prescription was observed. In addition, percentage point decreases of -0.01 (95% CI, -0.10 to 0.09) in high-dose opioid prescriptions (>50 MMEs per day) and -0.02 (95% CI, -0.12 to 0.08) in long-duration opioid prescriptions (>7 days' supply) were found after cap laws were implemented.Conclusions and relevanceIn this cross-sectional study, no association was observed between state opioid prescribing cap laws and the receipt of opioid prescriptions among children and adolescents. Alternative strategies, such as opioid prescribing guidelines tailored to youths, are needed.
| S-EPMC9356320 | biostudies-literature
Project description:BACKGROUND:National guidelines make recommendations regarding the initial opioid prescriptions, but most of the supporting evidence is from the initial episode of care, not the first prescription. OBJECTIVE:To examine associations between features of the first opioid prescription and high-risk opioid use in the 18 months following the first prescription. DESIGN:Retrospective cohort study using data from a large commercial insurance claims database for 2011-2014 to identify individuals with no recent use of opioids and follow them for 18 months after the first opioid prescription. PARTICIPANTS:Privately insured patients aged 18-64 and Medicare Advantage patients aged 65 or older who filled a first opioid prescription between 07/01/2011 and 06/30/2013. MAIN OUTCOMES AND MEASURES:High-risk opioid use was measured by having (1) opioid prescriptions overlapping for 7 days or more, (2) opioid and benzodiazepine prescriptions overlapping for 7 days or more, (3) three or more prescribers of opioids, and (4) a daily dosage exceeding 120 morphine milligram equivalents, in each of the six quarters following the first prescription. KEY RESULTS:All three features of the first prescription were strongly associated with high-risk use. For example, among privately insured patients, receiving a long- (vs. short-) acting first opioid was associated with a 16.9-percentage-point increase (95% CI, 14.3-19.5), a daily MME of 50 or more (vs. less than 30) was associated with a 12.5-percentage-point increase (95% CI, 12.1-12.9), and a supply exceeding 7 days (vs. 3 or fewer days) was associated with a 4.8-percentage-point increase (95% CI, 4.5-5.2), in the probability of having a daily dosage of 120 MMEs or more in the long term, compared to a sample mean of 4.2%. Results for the Medicare Advantage patients were similar. CONCLUSIONS:Long-acting formulation, high daily dosage, and longer duration of the first opioid prescription were each associated with increased high-risk use of opioids in the long term.
| S-EPMC6258623 | biostudies-literature
Project description:ImportanceOpioid-related mortality increased by 15.6% from 2014 to 2015 and increased almost 320% between 2000 and 2015. Recent research finds that the use of all pain medications (opioid and nonopioid collectively) decreases in Medicare Part D and Medicaid populations when states approve medical cannabis laws (MCLs). The association between MCLs and opioid prescriptions is not well understood.ObjectiveTo examine the association between prescribing patterns for opioids in Medicare Part D and the implementation of state MCLs.Design, setting, and participantsLongitudinal analysis of the daily doses of opioids filled in Medicare Part D for all opioids as a group and for categories of opioids by state and state-level MCLs from 2010 through 2015. Separate models were estimated first for whether the state had implemented any MCL and second for whether a state had implemented either a dispensary-based or a home cultivation only-based MCL.Main outcomes and measuresThe primary outcome measure was the total number of daily opioid doses prescribed (in millions) in each US state for all opioids. The secondary analysis examined the association between MCLs separately by opioid class.ResultsFrom 2010 to 2015 there were 23.08 million daily doses of any opioid dispensed per year in the average state under Medicare Part D. Multiple regression analysis results found that patients filled fewer daily doses of any opioid in states with an MCL. The associations between MCLs and any opioid prescribing were statistically significant when we took the type of MCL into account: states with active dispensaries saw 3.742 million fewer daily doses filled (95% CI, -6.289 to -1.194); states with home cultivation only MCLs saw 1.792 million fewer filled daily doses (95% CI, -3.532 to -0.052). Results varied by type of opioid, with statistically significant estimated negative associations observed for hydrocodone and morphine. Hydrocodone use decreased by 2.320 million daily doses (or 17.4%) filled with dispensary-based MCLs (95% CI, -3.782 to -0.859; P = .002) and decreased by 1.256 million daily doses (or 9.4%) filled with home-cultivation-only-based MCLs (95% CI, -2.319 to -0.193; P = .02). Morphine use decreased by 0.361 million daily doses (or 20.7%) filled with dispensary-based MCLs (95% CI, -0.718 to -0.005; P = .047).Conclusions and relevanceMedical cannabis laws are associated with significant reductions in opioid prescribing in the Medicare Part D population. This finding was particularly strong in states that permit dispensaries, and for reductions in hydrocodone and morphine prescriptions.
| S-EPMC6145794 | biostudies-literature
Project description:BackgroundThere is concern that state laws to curb opioid prescribing may adversely affect patients with chronic noncancer pain, but the laws' effects are unclear because of challenges in disentangling multiple laws implemented around the same time.ObjectiveTo study the association between state opioid prescribing cap laws, pill mill laws, and mandatory prescription drug monitoring program query or enrollment laws and trends in opioid and guideline-concordant nonopioid pain treatment among commercially insured adults, including a subgroup with chronic noncancer pain conditions.DesignThirteen treatment states that implemented a single law of interest in a 4-year period and unique groups of control states for each treatment state were identified. Augmented synthetic control analyses were used to estimate the association between each state law and outcomes.SettingUnited States, 2008 to 2019.Patients7 694 514 commercially insured adults aged 18 years or older, including 1 976 355 diagnosed with arthritis, low back pain, headache, fibromyalgia, and/or neuropathic pain.MeasurementsProportion of patients receiving any opioid prescription or guideline-concordant nonopioid pain treatment per month, and mean days' supply and morphine milligram equivalents (MME) of prescribed opioids per day, per patient, per month.ResultsLaws were associated with small-in-magnitude and non-statistically significant changes in outcomes, although CIs around some estimates were wide. For adults overall and those with chronic noncancer pain, the 13 state laws were each associated with a change of less than 1 percentage point in the proportion of patients receiving any opioid prescription and a change of less than 2 percentage points in the proportion receiving any guideline-concordant nonopioid treatment, per month. The laws were associated with a change of less than 1 in days' supply of opioid prescriptions and a change of less than 4 in average monthly MME per day per patient prescribed opioids.LimitationsResults may not be generalizable to non-commercially insured populations and were imprecise for some estimates. Use of claims data precluded assessment of the clinical appropriateness of pain treatments.ConclusionThis study did not identify changes in opioid prescribing or nonopioid pain treatment attributable to state laws.Primary funding sourceNational Institute on Drug Abuse.
| S-EPMC9277518 | biostudies-literature
Project description:BackgroundThe United States is undergoing a crippling opioid epidemic, spurred in part by overuse of prescription opioids by adults 25 to 64 years of age. Of concern are long-duration and high-dose initial prescriptions, which place the patients and their friends and relatives at heightened risk for long-term opioid use, misuse, overdose, and death.MethodsWe estimated the incidence of initial opioid prescriptions in each month between July 2012 and December 2017 using administrative-claims data from across the United States (accessed through Blue Cross-Blue Shield [BCBS] Axis); monthly incidence was estimated as the percentage of enrollees who received an initial opioid prescription among those who had not used opioids (i.e., no opioid prescription or a diagnosis of opioid use disorder in the 6 months before a given month). We then estimated the percentage of enrollees initiating opioid therapy who received a long-duration or high-dose initial opioid prescription in each month during this period. We also calculated the number of providers who initiated opioid therapy in any patient who had not used opioids in each month and examined monthly trends in the duration and dose of initial opioid prescriptions in prescriber and patient subgroups. Our study sample included 63,817,512 enrollees who had not used opioids (mean, 15,897,673 per month).ResultsThe monthly incidence of initial opioid prescriptions among enrollees who had not used opioids declined by 54%, from 1.63% in July 2012 to 0.75% in December 2017. This decline was accompanied by a decreasing number of providers (from 114,043 in July 2012 to 80,462 in December 2017) who initiated opioid therapy in any patient who had not used opioids. Nonetheless, among the shrinking subgroup of physicians who initiated opioid therapy in such patients, high-risk prescribing (i.e., prescriptions for more than a 3-day supply or for a dose of 50 morphine milligram equivalents per day or higher) persisted at a monthly rate of 115,378 prescriptions per 15,897,673 enrollees who had not used opioids.ConclusionsAs the opioid crisis progressed between July 2012 and December 2017, many providers stopped initiating opioid therapy. Although the number of initial opioid prescriptions declined, a subgroup of providers continued to write high-risk initial opioid prescriptions. (Funded by the National Institute on Aging and a gift from Owen and Linda Robinson.).
| S-EPMC6487883 | biostudies-literature
Project description:IntroductionThe relationships between healthcare use and social needs are not fully understood. In 2015, International Classification of Diseases, Tenth Revision coding introduced voluntary Z codes for social needs‒related healthcare encounters. This study evaluated early national patterns of Z codes in privately insured adults.MethodsIn 2021, the authors conducted a case-control analysis of national commercial health payer claims from 2016 to 2019. Among adults with ≥6 months of continuous enrollment and ≥1 medical claims, patients with any assigned Z codes were defined as cases. Controls were selected through stratified random sampling. Z codes were organized under 3 categories: socioeconomic, community/social, and environmental.ResultsOf 29.5 million adults, 521,334 patients (1.8%) had any assigned Z codes. Among all the Z codes, 53.5% identified community/social issues, 30.3% identified environmental issues, and 16.2% identified socioeconomic issues. Among socioeconomic Z codes, housing needs were frequently identified, but needs for food, utility bills, and transportation were very rarely identified. In multivariable regression analysis, females had higher odds of Z code assignment than males. Depression and chronic pulmonary disease were the 2 common comorbidities (≥5% prevalence in cases and controls) that were highly associated with Z code assignment. Less common comorbidities strongly associated with Z code assignment were drug abuse, alcohol abuse, psychoses, and AIDS/HIV.ConclusionsIn this national study of privately insured patients, many Z codes identified healthcare encounters caused by social stressors, whereas few identified food- or transportation-related causes. Depression and chronic pulmonary disease were highly associated with Z code assignment.
| S-EPMC10286127 | biostudies-literature
Project description:ImportanceAs opioid-related mortality continues to increase, naloxone remains a critical intervention in preventing overdose death. Opportunities to expand access through the health care setting should be optimized.ObjectiveTo determine the characteristics of naloxone prescribing for US patients at high risk of opioid overdose.Design, setting, and participantsThis retrospective cohort study used Truven Health MarketScan data from October 1, 2015, through December 31, 2016, of individuals with International Statistical Classification of Diseases and Related Health Problems, Tenth Revision codes related to opioid use, misuse, dependence, and overdose. The cohort included 138 108 commercially insured individuals aged 15 years or older in the United States with claims related to opioid misuse or dependence, opioid-related overdose, or both.ExposuresOutpatient naloxone pharmacy claims.Main outcomes and measuresDemographic characteristics, clinical characteristics, health care service use, and proportion prescribed naloxone were included in multivariable logistic regression analyses to test the association of opioid risk group with naloxone claim.ResultsOf 138 108 high-risk individuals (mean [SD] age, 43.4 [0.4] years; 72 435 [52.4%] men), 2135 (1.5%) were prescribed naloxone. Having prior diagnoses of both opioid misuse or dependence and overdose was associated with a greater likelihood of receiving naloxone (odds ratio [OR], 2.32; 95% CI, 1.98-2.72; P < .001) compared with having a prior diagnosis of opioid misuse or dependence without overdose. Having a prior diagnosis of opioid overdose alone was associated with a decreased likelihood of receiving naloxone (OR, 0.73; 95% CI, 0.57-0.94; P = .01) compared with having a prior diagnosis of opioid misuse or dependence without overdose. Factors associated with lower naloxone prescription included being aged 30 to 44 years (OR, 0.72; 95% CI, 0.62-0.84; P < .001) and being from the Midwest (OR, 0.62; 95% CI, 0.54-0.71; P < .001) or West (OR, 0.85; 95% CI, 0.74-0.98; P = .03). Opioid use disorder treatment, such as use of medication-assisted therapy (OR, 1.68; 95% CI, 1.53-1.86; P < .001), visiting a detoxification facility (OR, 1.51; 95% CI, 1.31-1.76; P < .001), or receiving other substance use disorder treatment (OR, 1.16; 95% CI, 1.04-1.30; P = .01), were associated with increased likelihood of receiving naloxone, as were receiving outpatient care from a pain specialist (OR, 1.57; 95% CI, 1.40-1.76; P < .001), psychologist (OR, 1.49; 95% CI, 1.29-1.70; P < .001), or surgeon (OR, 1.19; 95% CI, 1.08-1.32; P < .001). Overall, 98.5% (n = 135 973) of high-risk patients did not received naloxone, despite many interactions with the health care system, including 88 618 hospitalizations, 229 680 emergency department visits, 298 058 internal medicine visits, and 568 448 family practice visits.Conclusions and relevancePatients at high risk of opioid overdose rarely received prescriptions for naloxone despite numerous interactions with the health care system. Prescribing in emergency, inpatient, and outpatient settings represents an opportunity to improve access.
| S-EPMC6503491 | biostudies-literature
Project description:The opioid epidemic in the United States has accelerated during the COVID-19 pandemic. As of 2021, roughly a third of Americans now live in a state with a recreational cannabis law (RCL). Recent evidence indicates RCLs could be a harm reduction tool to address the opioid epidemic. Individuals may use cannabis to manage pain, as well as to relieve opioid withdrawal symptoms, though it does not directly treat opioid use disorder. It is thus unclear whether RCLs are an effective policy tool to reduce adverse opioid-related health outcomes. In this study, we examine the impact of RCLs on a key opioid-related adverse health outcome: opioid-related emergency department (ED) visit rates. We estimate event study models using nearly comprehensive ED data from 29 states from 2011 to 2017. We find that RCLs reduce opioid-related ED visit rates by roughly 7.6% for two quarters after implementation. These effects are driven by men and adults aged 25-44. These effects dissipate after 6 months. Our estimates indicate RCLs did not increase opioid-related ED visits. We conclude that, while cannabis liberalization may offer some help in curbing the opioid epidemic, it is likely not a panacea.
| S-EPMC8985992 | biostudies-literature
Project description:Objective The increased use of opioids to treat chronic pain in the past 20 years has led to a drastic increase in opioid prescribing in the United States. The Centers for Disease Control and Prevention's (CDC's) Guideline for Prescribing Opioids for Chronic Pain recommends the use of nonopioid therapy as the preferred treatment for chronic pain. This study analyzes the prevalence of nonopioid prescribing among commercially insured patients with chronic pain. Design Data from the 2014 IBM® MarketScan® databases representing claims for commercially insured patients were used. International Classification of Diseases, Ninth Revision, codes were used to identify patients with chronic pain. Nonopioid prescriptions included nonsteroidal anti-inflammatory drugs (NSAIDs), analgesics/antipyretics (e.g., acetaminophen), anticonvulsants, and antidepressant medications. The prevalence of nonopioid and opioid prescriptions was calculated by age, sex, insurance plan type, presence of a depressive or seizure disorder, and region. Results In 2014, among patients with chronic pain, 16% filled only an opioid, 17% filled only a nonopioid prescription, and 28% filled both a nonopioid and an opioid. NSAIDs and antidepressants were the most commonly prescribed nonopioids among patients with chronic pain. Having prescriptions for only nonopioids was more common among patients aged 50-64 years and among female patients. Conclusions This study provides a baseline snapshot of nonopioid prescriptions before the release of the CDC Guideline and can be used to examine the impact of the CDC Guideline and other evidence-based guidelines on nonopioid use among commercially insured patients with chronic pain.
| S-EPMC6536362 | biostudies-literature
Project description:Earlier studies investigated rural-urban colorectal cancer (CRC) screening disparities among older adults or used surveys. The objective was to compare screening uptake between rural and urban individuals 50-64 years of age using private health insurance. Data were analyzed from 58,774 Blue Cross Blue Shield of Nebraska beneficiaries. Logistic regression was used to assess the association between rural-urban and CRC screening use. Results indicate that rural individuals were 56% more likely to use the Fecal Occult Blood Test (FOBT) compared with urban residents, but rural females were 68% less likely to use FOBT. Individuals with few Primary Care Physician (PCP) visits and rural-women are the least to receive screening. To enhance CRC screening, a policy should be devised for the training and placement of female PCP in rural areas. In particular, multilevel interventions, including education, more resources, and policies to increase uptake of colorectal cancer screening, are needed. Further research is warranted to investigate barriers to CRC screening in rural areas.
| S-EPMC7710856 | biostudies-literature