Trajectories of Opioid Use Following First Opioid Prescription in Opioid-Naive Youths and Young Adults

The recent trend of twin epidemic in the United States: a 10-year longitudinal cohort study of co-prescriptions of opioids and stimulants

Background

In recent years, the use of central nervous system stimulant medications has increased among the population already using opioids, referred to as a "twin epidemic." There is an increasing concern about its harmful outcomes in large populations. However, very few studies examined the co-prescription pattern of these two drug categories over a long period, and there is currently no clear restriction on stimulant prescriptions among patients under opioid treatment in the United States. The objectives of our study were to identify opioid prescription dosage time-dependent patterns and patient subgroups representing distinct trajectories on a national level in the recent 10 years, and to further investigate longitudinal associations between stimulant and opioid prescriptions and the impact of stimulant prescriptions on opioid dosage patterns.

Methods

We obtained patient records from MarketScan, one of the largest clinical databases of health insurance in the United States. 10 years (2012-2021) of prescription records and related patient profiles, who received at least two independent opioid prescriptions, were utilized for developing a group-based opioid dose trajectory model.

Findings

From an initial cohort including 22 million patients with 96 million opioid prescriptions, we developed a study cohort of 2,895,960 patients with a mean age of 43.9 years (standard deviation [SD] 13.0), of whom 1,244,077 (43%) were male. Significant geographical variations in opioid prescription frequency and dosage among four U.S. regions were observed. The trajectory model identified five distinct opioid dose groups. Stimulant prescription before the initial opioid prescription was positively associated with escalating opioid doses (odds ratio [OR]: 7.58; 95% confidence intervals [CI] 6.14-9.35, opioid dose increasing group compared to the decreasing group). Stimulant co-prescriptions were also associated with increasing opioid doses (OR: 1.73; 95% CI 1.40-2.14) and were identified in patients with a higher prevalence of opioid use disorder.

Interpretation

During the recent 10 years, stimulant prescription is positively associated with escalating opioid prescription activities in U.S. healthcare systems, suggesting co-prescriptions of these two types of drugs are an important contributing factor for a national-level twin epidemic. Healthcare leaders and policymakers should pay more attention to this issue and its potential harms.

Funding

National Institute of General Medical Sciences, National Institute on Drug Abuse, and National Science Foundation.

Inter-individual divergence in thresholds for detecting opioid effects: Within-subject human laboratory evidence of a testable behavioral phenotype

Variations in inter-individual response to opioid medications has not been well-investigated in prospective, empirical designs or in persons who have no learned experience with opioids or current pain conditions. These analyses categorized response to opioids during rigorous human laboratory experimental conditions. Healthy individuals (N = 75) with little to no prior opioid exposure completed a 5-day residential study wherein they received triple-blinded doses of placebo or oral hydromorphone (2mg, 4mg, 8mg). Outcomes included a series of general and specific visual analog scale (VAS) ratings completed by participants and blinded observers, physiological endpoints, and analgesic responses to laboratory-evoked pain. The lowest dose at which participants endorsed > 20 point change in self-reported "Drug Effect" VAS ratings from baseline was used to define the following opioid sensitivity thresholds: 2mg ("Low Threshold", N = 9), 4mg ("Medium"; N = 29), and 8mg ("High", N = 14); a "No Threshold" group (N = 31) did not endorse any effects at any dose. Main effects of sensitivity threshold existed for most participant-reported responses and conformed to threshold categories in dose-dependent ways. In contrast, no main effects of sensitivity threshold were observed for blinded observer ratings, physiological endpoints, or evoked analgesic responses, such that hydromorphone produced dose-dependent opioid agonist effects for all participants that diverged from their self-reported experience. These data provide the most granular assessment of inter-individual differences in opioid response among persons with little or no lifetime opioid exposure or existing pain condition. All participants experienced dose-dependent changes in opioid agonist responses, yet their self-awareness of these effects varied and 30 % of participants endorsed no awareness of opioid exposure at any dose. These data demonstrate a consistent and reliable divergence between the subjective experience of opioids from rigorously-assessed physiological, observable, and analgesic responses. Testable implications of these outcomes are discussed.

Risk factors for persistent postoperative opioid use: an entity distinct from chronic postsurgical pain

Despite a decline in opioid prescriptions over the past decade, patients commonly receive opioid analgesics as a treatment for postoperative pain in the USA. One complication that patients may experience after surgery is persistent postoperative opioid use (PPOU), or opioid use beyond the typical recovery period. Often defined as beyond 3 months postsurgery, PPOU is frequently conflated with chronic postsurgical pain (CPSP), where pain persists well after the expected healing time following surgery. This narrative review explores the distinct risk factors for each condition, their interrelation, and potential future research directions.For PPOU, major risk factors include the risky use of substances including misuse and use disorders; depression and other mental health disorders; a history of chronic pain before surgery including back pain; and certain surgical types (ie, total knee arthropathy, open cholecystectomy, total hip arthropathy). Conversely, CPSP risk factors include the type of surgery (ie, thoracic and breast surgeries), mental health conditions (particularly catastrophizing), and pain in both the preoperative and postoperative phases. Despite the overlap of some factors, studies typically employ different frameworks when examining PPOU and CPSP, with a biopsychosocial model applied for CPSP and little emphasis on an individual's social environment employed for PPOU. Additionally, existing studies predominantly rely on retrospective insurance claims data, which may not capture the full scope of risk factors.To fill gaps in understanding, investigations may prospectively assess and analyze patient-reported outcomes, implement similar frameworks, and concurrently measure both conditions to advance the scientific understanding of PPOU and CPSP.

Teneurin C-terminal associated peptide (TCAP)-1 attenuates the development and expression of naloxone-precipitated morphine withdrawal in male Swiss Webster mice

RATIONALE

Corticotropin-releasing factor (CRF), the apical stress-inducing hormone, exacerbates stress and addictive behaviors. TCAP-1 is a peptide that directly inhibits both CRF-mediated stress and addiction-related behaviors; however, the direct action of TCAP-1 on morphine withdrawal-associated behaviors has not previously been examined.

OBJECTIVE

To determine whether TCAP-1 administration attenuates behavioral and physiological consequences of morphine withdrawal in mice.

METHODS

Mice were administered via subcutaneous route TCAP-1 either before or after initial morphine exposure, after which jumping behavior was quantified to assess the effects of TCAP-1 on naloxone-precipitated morphine withdrawal. As a comparison, mice were treated with nonpeptide CRF1 receptor antagonist CP-154,526. In one experiment, plasma corticosterone (CORT) was also measured as a physiological stress indicator.

RESULTS

Pretreatment with TCAP-1 (10-250 nmol/kg) before morphine treatment significantly inhibited the development of naloxone-precipitated withdrawal. TCAP-1 (250-500 nmol/kg) treatment administered after morphine treatment attenuated the behavioral expression of naloxone-precipitated withdrawal. TCAP-1 (250 nmol/kg) treatment during morphine treatment was more effective than the optimal dosing of CP-154,526 (20 mg/kg) at suppressing the behavioral expression of naloxone-precipitated withdrawal, despite similar reduction of withdrawal-induced plasma CORT level increases.

CONCLUSIONS

These findings establish TCAP-1 as a potential therapeutic candidate for the prevention and treatment of morphine withdrawal.

Review of Opioid Abuse-Deterrent Formulations: Impact and Barriers to Access

The misuse and abuse of opioid analgesics continue to pose a serious public health concern, but for some patients, opioids remain an important analgesic option. Extended-release (ER) opioid formulations are effective for treating chronic pain and are supported by multiple 12-week efficacy studies. ER opioids often contain a high opioid content, and similar to immediate-release (IR) formulations, are subject to abuse, misuse, and diversion. Unintentional misuse may also occur when ER formulations are manipulated for medicinal administration, such as crushing a dose for easier oral intake. As part of a multipronged strategy designed to fight the opioid epidemic, abuse-deterrent formulations (ADFs) were developed to deter misuse, abuse, and diversion of opioids by making manipulation more difficult and nonoral routes of administration less rewarding. Although ADF opioids have been shown to decrease rates of abuse and diversion, they are not equally effective in terms of deterring manipulation for abuse or misuse. Xtampza ER utilizes DETERx technology, which allows it to retain ER characteristics when chewed or crushed, making it the only ER opioid without a boxed warning against these types of manipulation. OxyContin was also developed as an ADF but uses RESISTEC technology, making the tablet hard to crush and viscous in aqueous solutions. ADF utilization has been hampered by patient access issues, including high prices due to lack of insurance coverage. Postmarket real-world studies demonstrate lower rates of abuse, misuse, and diversion for ADF ER opioids compared with non-ADF formulations. However, similar studies comparing abuse-related effectiveness and health care costs for ADF opioids are warranted if clinicians are expected to utilize these potentially safer opioid formulations. These studies would support further education surrounding the benefits and utilization of ADFs and manipulation potential of different ADFs.

Opioid therapy trajectories of patients with chronic non-cancer pain over 1 year of follow-up after initiation of short-acting opioid formulations

OBJECTIVE

This study compared opioid utilization trajectories of persons initiating tramadol, short-acting hydrocodone, or short-acting oxycodone, and it characterized opioid dose trajectories and type of opioid in persistent opioid therapy subsamples.

METHODS

A retrospective cohort study of adults with chronic non-cancer pain who were initiating opioid therapy was conducted with the IQVIA PharMetrics® Plus for Academics data (2008-2018). Continuous enrollment was required for 6 months before ("baseline") and 12 months after ("follow-up") the first opioid prescription ("index date"). Opioid therapy measures were assessed every 7 days over follow-up. Group-based trajectory modeling (GBTM) was used to identify trajectories for any opioid and total morphine milligram equivalent measures, and longitudinal latent class analysis was used for opioid therapy type.

RESULTS

A total of 40 276 tramadol, 141 023 hydrocodone, and 45 221 oxycodone initiators were included. GBTM on any opioid therapy identified 3 latent trajectories: early discontinuers (tramadol 39.0%, hydrocodone 54.1%, oxycodone 61.4%), late discontinuers (tramadol 37.9%, hydrocodone 39.4%, oxycodone 33.3%), and persistent therapy (tramadol 6.7%, hydrocodone 6.5%, oxycodone 5.3%). An additional fourth trajectory, intermittent therapy (tramadol 16.4%), was identified for tramadol initiators. Of those on persistent therapy, 2687 individuals were on persistent therapy with tramadol, 9169 with hydrocodone, and 2377 with oxycodone. GBTM on opioid dose resulted in 6 similar trajectory groups in each persistent therapy group. Longitudinal latent class analysis on opioid therapy type identified 6 latent classes for tramadol and oxycodone and 7 classes for hydrocodone.

CONCLUSION

Opioid therapy patterns meaningfully differed by the initial opioid prescribed, notably the presence of intermittent therapy among tramadol initiators and higher morphine milligram equivalents and prescribing of long-acting opioids among oxycodone initiators.

Variations in opioid prescribing after total joint arthroplasty: An Observational study

Background

This study aimed to analyze the prescribing patterns of opioids by different categories of providers for postoperative pain after primary total hip and knee arthroplasty (THA, TKA) at a single institution.

Methods

A retrospective review was conducted on 1774 patients who underwent primary THA or TKA between 2014 and 2019 at a single, level one academic trauma center. Patients were excluded for additional procedures within 90 days of the index surgery. Patient demographics, operative variables, and opioid prescriptions were collected and analyzed. Generalized linear models accounting for within-person correlations were used to model the association between patient age, prescriber, etiology, opioid category, and mean morphine milligram equivalent (MME) prescribed.

Results

The mean MME prescribed per patient up to 90 days postoperatively was 1591. Significant variations were observed in prescribing habits based on patient gender, age, prescriber category, and drug type. Females were prescribed more MMEs than males (CI 8.58, 667.16; p = 0.0443) and patients 65 years or younger received higher MMEs compared to those above 65 (CI 231.11, 926.48; p = 0.0011). Non-orthopedic physicians prescribed higher MMEs than orthopedic surgeons (CI 402.76, 1219.48; p < 0.0001). Hydrocodone and oxycodone prescriptions had significantly higher MMEs than tramadol prescriptions (CI 446.33, 719.52; p < 0.0001 and CI 681.09, 1065.26; p < 0.0001, respectively).

Conclusion

These findings suggest the need for standardized guidelines and interventions to address variations in opioid prescribing practices for postoperative pain control. Understanding baseline prescription habits can help guide efforts to optimize pain management and reduce opioid overprescribing in the surgical setting.

Pathways to opioid use and implications for prevention: voices of young adults in recovery

BACKGROUND

Opioid use remains a major public health issue, especially among young adults. Despite investment in harm reduction and supply-side strategies such as reducing overprescribing and safe medication disposal, little is known about demand-side issues, such as reasons for use and pathways to opioid use. Adolescents and young adults who struggle with opioid use disorder (OUD) are multifaceted individuals with varied individual histories, experiences, challenges, skills, relationships, and lives.

METHODS

To inform the development of prevention strategies that hold promise for addressing opioid use, this study employs brief structured surveys and semi-structured in-depth interviews with 30 young adults (ages 18-29; 19 female, 23 White, 16 from Suburban areas) in recovery from OUD. For survey data, we used descriptive statistics to summarize the means and variance of retrospectively reported risk and protective factors associated with opioid use. For in-depth interview data, we used a combination of thematic analysis and codebook approaches to generate common themes and experiences shared by participants.

RESULTS

Surveys revealed that the most endorsed risk factors pertained to emotions (emotional neglect and emotional abuse) followed by sexual abuse, physical abuse, and physical neglect. Themes generated from qualitative analyses reveal challenging experiences during adolescence, such as unaddressed mental health, social, and emotional needs, which were often reported as reasons for opioid initiation and use. Through surveys and interviews, we also identified positive assets, such as skills and social relationships that were present for many participants during adolescence.

CONCLUSION

Implications include the need for universal prevention strategies that include emotion-focused interventions and supports alongside current harm reduction and environmental strategies to regulate prescriptions; the potential utility of more emotion-focused items being included on screening tools; and more voices of young people in recovery.

Trajectories of opioid prescribing by general dentists, specialists, and oral and maxillofacial surgeons in the United States, 2015-2019

BACKGROUND

Despite decreases in opioid prescribing from 2016 through 2019, some dentists (general, specialists, oral and maxillofacial surgeons) in the United States continue to prescribe opioids at high rates. The authors' objective was to define dentists' trajectories of opioid prescribing.

METHODS

The authors identified actively prescribing dentists from the IQVIA Longitudinal Prescription data set, from 2015 through 2019. Group-based trajectory modeling identified opioid prescribing trajectories on the basis of dentists' annual prescribing rates for the overall sample (model 1) and for high prescribers (model 2). The authors used χ2 or Mann-Whitney U tests to characterize the model 2 trajectory groups.

RESULTS

In model 1 (n = 199,145 prescribers), group-based trajectory modeling identified 8 trajectories that were grouped into 5 categories. A total of 14.8% were nonprescribers who composed less than 1% of all prescriptions, low prescribers (3 groups; 46.0%) prescribed at low rates (2015: 5.5%-16.9%; 2019: 1.5%-11.9%), decliners (7.3%) decreased prescribing rapidly (2015: 29.4%; 2019: 5.1%), moderately high prescribers (2 groups; 28.5%) prescribed moderately (2015: 28.7% and 39.2%; 2019: 18.1% and 28.8%), and consistently high prescribers (3.4%) prescribed at high rates (2015: 54.6%; 2019: 44.7%). In model 2, from consistently high prescribers (n = 6,845), 4 trajectories were identified. Of these 4 groups, 1 group (7.5%) declined prescribing rapidly. The groups did not differ meaningfully; however, the rapid decliners included fewer oral and maxillofacial surgeons (13.0% vs 18.4%), saw more Medicaid patients (2.5% vs 1.0%), and had higher opioid prescribing rates in 2015 (95.5% vs 91.6%) (P < .001 for all).

CONCLUSIONS

The authors identified variations in dentists' opioid prescribing rates. Although 60% of dentists decreased prescribing rates by 30% through 83%, 3.4% of dentists consistently prescribed at high rates.

PRACTICAL IMPLICATIONS

Some dentists continue to prescribe opioids at high levels, indicating that additional information is needed to better inform policy and clinical decision making.

Morphine exposure during adolescence induces enduring social changes dependent on adolescent stage of exposure, sex, and social test

Drug exposure during adolescence, when the 'reward' circuitry of the brain is developing, can permanently impact reward-related behavior. Epidemiological studies show that opioid treatment during adolescence, such as pain management for a dental procedure or surgery, increases the incidence of psychiatric illness including substance use disorders. Moreover, the opioid epidemic currently in the United States is affecting younger individuals raising the impetus to understand the pathogenesis of the negative effects of opioids. One reward-related behavior that develops during adolescence is social behavior. We previously demonstrated that social development occurs in rats during sex-specific adolescent periods: early to mid-adolescence in males (postnatal day (P)30-40) and pre-early adolescence in females (P20-30). We thus hypothesized that morphine exposure during the female critical period would result in adult sociability deficits in females, but not males, and morphine administered during the male critical period would result in adult sociability deficits in males, but not females. We found that morphine exposure during the female critical period primarily resulted in deficits in sociability in females, while morphine exposure during the male critical period primarily resulted in deficits in sociability primarily in males. However, depending on the test performed and the social parameter measured, social alterations could be found in both sexes that received morphine exposure at either adolescent stage. These data indicate that when drug exposure occurs during adolescence, and how the endpoint data are measured, will play a large role in determining the effects of drug exposures on social development.

Psychosocial Correlates of Opioid Use Profiles among Young Adults in a Longitudinal Study across 6 US Metropolitan Areas

Background: Examining opioid use profiles over time and related factors among young adults is crucial to informing prevention efforts. Objectives: This study analyzed baseline data (Fall 2018) and one-year follow-up data from a cohort of 2,975 US young adults (Mage=24.55, 42.1% male; 71.7% White; 11.4% Hispanic). Multinomial logistic regression was used to examine: 1) psychosocial correlates (i.e. adverse childhood experiences [ACEs], depressive symptoms, parental substance use) of lifetime opioid use (i.e. prescription use vs. nonuse, nonmedical prescription [NMPO] use, and heroin use, respectively); and 2) psychosocial correlates and baseline lifetime use in relation to past 6-month use at one-year follow-up (i.e. prescription use vs. nonuse and NMPO/heroin use, respectively). Results: At baseline, lifetime use prevalence was: 30.2% prescription, 9.7% NMPO, and 3.1% heroin; past 6-month use prevalence was: 7.6% prescription, 2.5% NMPO, and 0.9% heroin. Compared to prescription users, nonusers reported fewer ACEs and having parents more likely to use tobacco, but less likely alcohol; NMPO users did not differ; and heroin users reported more ACEs and having parents more likely to use cannabis but less likely alcohol. At one-year follow-up, past 6-month use prevalence was: 4.3% prescription, 1.3% NMPO, and 1.4% heroin; relative to prescription users, nonusers were less likely to report baseline lifetime opioid use and reported fewer ACEs, and NMPO/heroin users were less likely to report baseline prescription opioid use but more likely heroin use. Conclusions: Psychosocial factors differentially correlate with young adult opioid use profiles, and thus may inform targeted interventions addressing different use patterns and psychosocial risk factors.

Endogenous opiates and behavior: 2021

This paper is the forty-fourth consecutive installment of the annual anthological review of research concerning the endogenous opioid system, summarizing articles published during 2021 that studied the behavioral effects of molecular, pharmacological and genetic manipulation of opioid peptides and receptors as well as effects of opioid/opiate agonizts and antagonists. The review is subdivided into the following specific topics: molecular-biochemical effects and neurochemical localization studies of endogenous opioids and their receptors (1), the roles of these opioid peptides and receptors in pain and analgesia in animals (2) and humans (3), opioid-sensitive and opioid-insensitive effects of nonopioid analgesics (4), opioid peptide and receptor involvement in tolerance and dependence (5), stress and social status (6), learning and memory (7), eating and drinking (8), drug abuse and alcohol (9), sexual activity and hormones, pregnancy, development and endocrinology (10), mental illness and mood (11), seizures and neurologic disorders (12), electrical-related activity and neurophysiology (13), general activity and locomotion (14), gastrointestinal, renal and hepatic functions (15), cardiovascular responses (16), respiration and thermoregulation (17), and immunological responses (18).

Long-term opioid use following bicycle trauma: a register-based cohort study

PURPOSE

Chronic opioid use is a significant public health burden. Orthopaedic trauma is one of the main indications for opioid prescription. We aimed to assess the risk for long-term opioid use in a healthy patient cohort.

METHODS

In this matched cohort study, bicycle trauma patients from a Swedish Level-I-Trauma Centre in 2006-2015 were matched with comparators on age, sex, and municipality. Information about dispensed opioids 6 months prior until 18 months following the trauma, data on injuries, comorbidity, and socioeconomic factors were received from national registers. Among bicycle trauma patients, the associations between two exposures (educational level and injury to the lower extremities) and the risk of long-term opioid use (> 3 months after the trauma) were assessed in multivariable logistic regression models.

RESULTS

Of 907 bicycle trauma patients, 419 (46%) received opioid prescriptions, whereof 74 (8%) became long-term users. In the first quarter after trauma, the mean opioid use was significantly higher in the trauma patients than in the comparators (253.2 mg vs 35.1 mg, p < 0.001) and fell thereafter to the same level as in the comparators. Severe injury to the lower extremities was associated with an increased risk of long-term opioid use [OR 4.88 (95% CI 2.34-10.15)], whereas high educational level had a protecting effect [OR 0.42 (95% CI 0.20-0.88)].

CONCLUSION

The risk of long-term opioid use after a bicycle trauma was low. However, opioids should be prescribed with caution, especially in those with injury to lower extremities or low educational level.

Joint longitudinal trajectories of pain intensity and opioid prescription in veterans with back pain

PURPOSE

We describe pain intensity and opioid prescription jointly over time in Veterans with back pain to better understand their relationship.

METHODS

We performed a retrospective cohort study on electronic health record data from 117 126 Veterans (mean age 49.2 years) diagnosed with back pain in 2015. We used latent class growth analysis to jointly model pain intensity (0-10 scores) and opioid prescriptions over 2 years to identify classes of individuals similar in their trajectory of pain and opioid over time. Multivariable multinomial logit models assessed sociodemographic and clinical predictors of class membership.

RESULTS

We identified six trajectory classes: a "no pain/no opioid" class (22.2%), a "mild pain/no opioid" class (45.0%), a "moderate pain/no opioid" class (24.6%), a "moderate, decreasing pain/decreasing opioid" class (3.3%), a "moderate pain/high opioid" class (2.6%), and a "moderate, increasing pain/increasing opioid" class (2.3%). Among those in moderate pain classes, being white (vs. non-white) and older were associated with higher odds of being prescribed opioids. Veterans with mental health diagnoses had increased odds of being in the painful classes versus "no pain/no opioid" class.

CONCLUSION

We found distinct patterns in the long-term joint course of pain and opioid prescription in Veterans with back pain. Understanding these patterns and associated predictors may help with development of targeted interventions for patients with back pain.

Association Between State Opioid Prescribing Cap Laws and Receipt of Opioid Prescriptions Among Children and Adolescents

Importance

High-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.

Objective

To examine the association between state opioid prescribing cap laws and the receipt of opioid prescriptions among children and adolescents.

Design Setting and Participants

This 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.

Exposure

Implementation 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 Measures

Outcomes 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.

Results

Among 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 Relevance

In 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.

Enhancing risk perception may be insufficient to curtail prescription opioid use and misuse among youth after surgery: A randomized controlled trial

OBJECTIVE

This randomized controlled trial examined whether an interactive, risk-focused educational program was associated with higher risk perceptions and decreased prescription opioid use/misuse among emerging adults.

METHODS

503 participants aged 15-24 years scheduled for ambulatory surgery were randomized to routine prescription education with or without our Scenario-Tailored Opioid Messaging Program (STOMP) provided prior to receipt of a prescribed opioid. Surveys were completed preoperatively, and at days 7&14, months 1&3 postoperatively. Outcomes included analgesic risk perceptions, opioid use, and misuse intentions/behavior.

RESULTS

Compared to Controls, STOMP was associated with stable but higher risk perceptions on day 14 (β = 1.76 [95% CI 0.53, 2.99], p = .005) and month 3 (β = 2.13 [95% CI 0.86, 3.40], p = .001). There was no effect of STOMP or analgesic misuse risk perceptions on days of opioid use or subsequent misuse intentions/behavior. The degree to which participants valued pain relief over analgesic risk (trade-off preference) was, however, associated with prolonged postoperative opioid use and later misuse.

CONCLUSION

Education emphasizing the risks of opioids was insufficient in reducing opioid use and misuse in youth who were prescribed these analgesics for acute pain relief.

PRACTICE IMPLICATIONS

Education may need to better address analgesic expectations to shorten opioid use and mitigate misuse.

Risk factors associated with recent opioid-related hospitalizations in children: a nationwide analysis

PURPOSE

Identifying at-risk children can provide a crucial opportunity for preventative measures to avoid opioid addiction. This study sought to determine at-risk pediatric patients that were previously hospitalized due to other causes prior to their opioid-related admission.

METHODS

The Nationwide Readmissions Database (2010-2014) was queried for children 1-18 years old with an opioid-related hospitalization. Previous admissions (up to 1 year prior) and associated diagnoses were compared. Results were weighted for national estimates.

RESULTS

51,349 opioid-related hospitalizations were identified with an overall in-hospital mortality of 0.8%. Seventeen percent had a previous admission during the same calendar year of which 44% had > 1 and 11% had ≥ 5 prior admissions. Only 4% of prior admissions occurred at a different hospital. Males and females were equally represented, and 82% were ≥ 13 years old. Only 16% of previously admitted patients underwent a major surgical procedure during a previous hospitalization. The most common concomitant diagnoses for patients with prior hospitalizations were drug abuse (37%), chronic pulmonary disease (18%), and depression (10%).

CONCLUSION

Opioid-related hospitalizations often occur among children with multiple recent admissions, usually to the same hospital. Most patients do not have a history of cancer or recent surgery to account for their opioid use.

Substitution of Nonpharmacologic Therapy With Opioid Prescribing for Pain During the COVID-19 Pandemic

Importance

During the pandemic, access to medical care unrelated to COVID-19 was limited because of concerns about viral spread and corresponding policies. It is critical to assess how these conditions affected modes of pain treatment, given the addiction risks of prescription opioids.

Objective

To assess the trends in opioid prescription and nonpharmacologic therapy (ie, physical therapy and complementary medicine) for pain management during the COVID-19 pandemic in 2020 compared with the patterns in 2019.

Design, Setting, and Participants

This retrospective, cross-sectional study used weekly claims data from 24 million US patients in a nationwide commercial insurance database (Optum's deidentified Clinformatics Data Mart Database) from January 1, 2019, to September 31, 2020. Among patients with diagnoses of limb, extremity, or joint pain, back pain, and neck pain for each week, patterns of treatment use were identified and evaluated. Data analysis was performed from April 1, 2021, to September 31, 2021.

Main Outcomes and Measures

The main outcomes of interest were weekly rates of opioid prescriptions, the strength and duration of related opioid prescriptions, and the use of nonpharmacologic therapy. Transition rates between different treatment options before the outbreak and during the early months of the pandemic were also assessed.

Results

A total of 21 430 339 patients (mean [SD] age, 48.6 [24.0] years; 10 960 507 [51.1%] female; 909 061 [4.2%] Asian, 1 688 690 [7.9%] Black, 2 276 075 [10.6%] Hispanic, 11 192 789 [52.2%] White, and 5 363 724 [25.0%] unknown) were enrolled during the first 3 quarters in 2019 and 20 759 788 (mean [SD] age, 47.0 [23.8] years; 10 695 690 [51.5%] female; 798 037 [3.8%] Asian; 1 508 023 [7.3%] Black, 1 976 248 [9.5%] Hispanic, 10 059 597 [48.5%] White, and 6 417 883 [30.9%] unknown) in the first 3 quarters of 2020. During the COVID-19 pandemic, the proportion of patients receiving a pain diagnosis was smaller than that for the same period in 2019 (mean difference, -15.9%; 95% CI, -16.1% to -15.8%). Patients with pain were more likely to receive opioids (mean difference, 3.5%; 95% CI, 3.3%-3.7%) and less likely to receive nonpharmacologic therapy (mean difference, -6.0%; 95% CI, -6.3% to -5.8%), and opioid prescriptions were longer and more potent during the early pandemic in 2020 relative to 2019 (mean difference, 1.07 days; 95% CI, 1.02-1.17 days; mean difference, 0.96 morphine milligram equivalents; 95% CI, 0.76-1.20). Analysis of individuals' transitions between treatment options for pain found that patients were more likely to transition out of nonpharmacologic therapy, replacing it with opioid prescriptions for pain management during the COVID-19 pandemic than in the year before.

Conclusions and Relevance

Nonpharmacologic therapy is a benign treatment for pain often recommended instead of opioid therapy. The decrease in nonpharmacologic therapy and increase in opioid prescription during the COVID-19 pandemic found in this cross-sectional study, especially given longer days of prescription and more potent doses, may exacerbate the US opioid epidemic. These findings suggest that it is imperative to investigate the implications of limited medical access on treatment substitution, which may increase patient risk, and implement policies and guidelines to prevent those substitutions.

Nonmedical Opioid Use After Short-term Therapeutic Exposure in Children: A Systematic Review

CONTEXT

Opioid-related harms continue to rise for children and youth. Analgesic prescribing decisions are challenging because the risk for future nonmedical opioid use or disorder is unclear.

OBJECTIVE

To synthesize research examining the association between short-term therapeutic opioid exposure and future nonmedical opioid use or opioid use disorder and associated risk factors.

DATA SOURCES

We searched 11 electronic databases.

STUDY SELECTION

Two reviewers screened studies. Studies were included if: they were published in English or French, participants had short-term (≤14 days) or an unknown duration of therapeutic exposure to opioids before 18 years, and reported opioid use disorder or misuse.

DATA EXTRACTION

Data were extracted, and methodologic quality was assessed by 2 reviewers. Data were summarized narratively.

RESULTS

We included 21 observational studies (49 944 602 participants). One study demonstrated that short-term therapeutic exposure may be associated with opioid abuse; 4 showed an association between medical and nonmedical opioid use without specifying duration of exposure. Other studies reported on prevalence or incidence of nonmedical use after medical exposure to opioids. Risk factors were contradictory and remain unclear.

LIMITATIONS

Most studies did not specify duration of exposure and were of low methodologic quality, and participants might not have been opioid naïve.

CONCLUSIONS

Some studies suggest an association between lifetime therapeutic opioid use and nonmedical opioid use. Given the lack of clear evidence regarding short-term therapeutic exposure, health care providers should carefully evaluate pain management options and educate patients and caregivers about safe, judicious, and appropriate use of opioids and potential signs of misuse.

Aging out of the federal dependent coverage mandate and purchases of prescription drugs with high rates of misuse

Prescription central nervous system depressants, opioid pain relievers, and stimulants provide therapeutic value, but misuse for their recreational value is a growing problem in the United States. Because health insurance lowers the cost of purchasing prescription drugs, losing coverage may cause individuals to forgo treatment and decrease prescription drug consumption which could reduce health and increase the likelihood of overdose and death if individuals substitute to using illicit drugs. I estimate the reduced form effect of aging out of the federal dependent coverage mandate at age 26 on legal purchases of prescription central nervous system depressants, opioids, and stimulants. Individuals are 0.5-0.9% points less likely to purchase a prescription central nervous system depressant and 0.8-1.5% points less likely to purchase a prescription opioid after turning 26. These effects are strongest for women, while estimated effects for men are generally negative but imprecise.