A recent history of opioid use in the US: Three decades of change

Early High-Risk Opioid Prescribing and Persistent Opioid Use in Australian Workers with Workers' Compensation Claims for Back and Neck Musculoskeletal Disorders or Injuries: A Retrospective Cohort Study

BACKGROUND

Opioid prescribing to injured workers has increased despite evidence demonstrating that risks often outweigh the benefits. High-risk prescribing and persistent opioid use are often associated with harm. However, there are limited data on what predicts early high-risk and persistent opioid prescribing in Australian workers with back and neck-related injuries or disorders.

OBJECTIVE

The purpose of this study was to determine the prevalence and identify determinants of early high-risk and persistent opioid prescribing in Australian workers with back and neck conditions.

METHODS

A retrospective cohort study was carried out with injured workers with workers' compensation claims for back and neck conditions who filled at least one opioid prescription within the first 90 days after injury from 1 January 2010 to 31 December 2019. High-risk opioid prescribing practices in the first 90 days were measured using one of four indicators of risk (high-total opioid volume on first dispensing occasion-exceeding 350 mg oral morphine equivalent in the first week, average high-dose over 90 days-higher than 50 mg oral morphine equivalent, early supply with long-acting opioids, and concurrent psychotropic prescriptions). Persistent opioid use was determined using group-based trajectory modeling over the subsequent 1-year. Multivariable logistic regression was used to identify predictors of high-risk opioid prescribing in the first 90 days and persistent opioid use in the subsequent year.

RESULTS

A total of 6278 injured workers prescribed opioids were included. At least one indicator of high-risk opioid prescribing was identified in 67.1% of the sample in the first 3 months. Persistent opioid use was identified in 22.8% of the sample over the subsequent year. Early high-risk opioid prescribing was associated with double the odds of persistent use (aOR 2.19, 95% CI 1.89-2.53). Injured workers residing in rural areas (inner regional and outer regional/remote Australia) had higher odds of high-risk prescribing (aOR 1.26, 95% CI 1.11-1.44) and (aOR 1.43, 95% CI 1.10-1.87), respectively, compared with those in major cities. Similarly, workers residing in areas with most disadvantaged and advantaged socioeconomic quintile had higher (aOR 1.18, 95% CI 1.01-1.39) and lower (aOR 0.68, 95% CI 0.56-0.82) odds of persistent opioid use, respectively, compared with those in the middle socioeconomic quintiles.

CONCLUSIONS

A total of two-thirds of injured workers receiving opioids in the first 90 days show evidence of high-risk prescribing, with nearly one-quarter exhibiting persistent opioid use over the subsequent year. Early high-risk opioid prescribing doubles the odds of opioid persistence. There is a need for further research and careful scrutiny of opioid prescribing in this population.

Utility of Candidate Genes From an Algorithm Designed to Predict Genetic Risk for Opioid Use Disorder

Importance

Recently, the US Food and Drug Administration gave premarketing approval to an algorithm based on its purported ability to identify individuals at genetic risk for opioid use disorder (OUD). However, the clinical utility of the candidate genetic variants included in the algorithm has not been independently demonstrated.

Objective

To assess the utility of 15 genetic variants from an algorithm intended to predict OUD risk.

Design, Setting, and Participants

This case-control study examined the association of 15 candidate genetic variants with risk of OUD using electronic health record data from December 20, 1992, to September 30, 2022. Electronic health record data, including pharmacy records, were accrued from participants in the Million Veteran Program across the US with opioid exposure (n = 452 664). Cases with OUD were identified using International Classification of Diseases, Ninth Revision, or International Classification of Diseases, Tenth Revision, diagnostic codes, and controls were individuals with no OUD diagnosis.

Exposures

Number of risk alleles present across 15 candidate genetic variants.

Main Outcome and Measures

Performance of 15 genetic variants for identifying OUD risk assessed via logistic regression and machine learning models.

Results

A total of 452 664 individuals with opioid exposure (including 33 669 with OUD) had a mean (SD) age of 61.15 (13.37) years, and 90.46% were male; the sample was ancestrally diverse (with individuals of genetically inferred European, African, and admixed American ancestries). Using Nagelkerke R2, collectively, the 15 candidate genes accounted for 0.40% of variation in OUD risk. In comparison, age and sex alone accounted for 3.27% of the variation. The ensemble machine learning. The ensemble machine learning model using the 15 variants as predictive factors correctly classified 52.83% (95% CI, 52.07%-53.59%) of individuals in an independent testing sample.

Conclusions and Relevance

Results of this study suggest that the candidate genetic variants included in the approved algorithm do not meet reasonable standards of efficacy in identifying OUD risk. Given the algorithm's limited predictive accuracy, its use in clinical care would lead to high rates of both false-positive and false-negative findings. More clinically useful models are needed to identify individuals at risk of developing OUD.

The effects of physician stigma and hesitancy with opioids on patient pain care in the United States: A survey study

OBJECTIVES

Determine if physician stigma toward patients with chronic pain or opioid use disorder or physician hesitancy prescribing opioids adversely affects patient pain care. Explore the demographics associated with stigma and hesitancy.

DESIGN

Survey, 25 questions.

SETTING

Physician faculty at medical schools (80 percent), private physician Facebook® groups (15 percent), and others (5 percent), all specialties.

PARTICIPANTS

N = 352 attending United States physicians.

MAIN OUTCOME MEASURE

Physician self-reported patient pain care quality.

RESULTS

Subjectively worse patient pain care was not found to be associated with stigma but had a borderline association with hesitancy (p = 0.046). Subjectively worse pain care was associated with less knowledge and experience with opioids (odds ratio [OR] 4.1, 95 percent confidence interval [CI] 3.0-5.6), practicing in the Midwest region (OR 2.1, 95 percent CI 1.2-3.4), and specialty: emergency (OR 53, 95 percent CI 20-139), other internal (OR 15, 95 percent CI 6.6-34), and general medicine (OR 12, 95 percent CI 5.4-26) compared to pain medicine. Physician stigma was more likely to be high in males (OR 2.5, 95 percent CI 1.5-4.3) and medium in physicians over 55 (OR 2.5, 95 percent CI 1.5-4.5). Compared to medium stigma, those with low stigma (General Linear Model (GLM) 0.35, 95 percent CI 0.18-0.52) and high stigma (GLM 0.22, 95 percent CI 0.01-0.44) were both more hesitant to prescribe opioids. More hesitancy was associated with less knowledge and experience (GLM 0.14, 95 percent CI 0.05-0.22) and physicians under 55 (GLM 0.24, 95 percent CI 0.08-0.40).

CONCLUSIONS

Although physician stigma was not found to affect patient pain care adversely, self-reporting bias and/or questionnaire issues may account for this. Physician specialty and knowledge and experience with opioids were important factors.

Pediatric suicide: Review of a preventable tragedy

Concepts of suicide are explored in this issue with a focus on suicide in children and adolescents. The epidemiology of pediatric suicide in the United States is reviewed; also, risk and protective factors, as well as prevention strategies, are discussed. Suicide in the pediatric athlete and the potential protective effect of exercise are examined. In addition, this analysis addresses the beneficial role of psychological management as well as current research on pharmacologic treatment and brain stimulation procedures as part of comprehensive pediatric suicide prevention. Though death by suicide in pediatric persons has been and remains a tragic phenomenon, there is much that clinicians, other healthcare professionals, and society itself can accomplish in the prevention of pediatric suicide as well as the management of suicidality in our children and adolescents.

Candidate Genes from an FDA-Approved Algorithm Fail to Predict Opioid Use Disorder Risk in Over 450,000 Veterans

Importance

Recently, the Food and Drug Administration gave pre-marketing approval to algorithm based on its purported ability to identify genetic risk for opioid use disorder. However, the clinical utility of the candidate genes comprising the algorithm has not been independently demonstrated.

Objective

To assess the utility of 15 variants in candidate genes from an algorithm intended to predict opioid use disorder risk.

Design

This case-control study examined the association of 15 candidate genetic variants with risk of opioid use disorder using available electronic health record data from December 20, 1992 to September 30, 2022.

Setting

Electronic health record data, including pharmacy records, from Million Veteran Program participants across the United States.

Participants

Participants were opioid-exposed individuals enrolled in the Million Veteran Program (n = 452,664). Opioid use disorder cases were identified using International Classification of Disease diagnostic codes, and controls were individuals with no opioid use disorder diagnosis.

Exposures

Number of risk alleles present across 15 candidate genetic variants.

Main Outcome and Measures

Predictive performance of 15 genetic variants for opioid use disorder risk assessed via logistic regression and machine learning models.

Results

Opioid exposed individuals (n=33,669 cases) were on average 61.15 (SD = 13.37) years old, 90.46% male, and had varied genetic similarity to global reference panels. Collectively, the 15 candidate genetic variants accounted for 0.4% of variation in opioid use disorder risk. The accuracy of the ensemble machine learning model using the 15 genes as predictors was 52.8% (95% CI = 52.1 - 53.6%) in an independent testing sample.

Conclusions and Relevance

Candidate genes that comprise the approved algorithm do not meet reasonable standards of efficacy in predicting opioid use disorder risk. Given the algorithm's limited predictive accuracy, its use in clinical care would lead to high rates of false positive and negative findings. More clinically useful models are needed to identify individuals at risk of developing opioid use disorder.

Predicting first use of heroin from prescription opioid use subtypes: Insights from the Monitoring the Future longitudinal panel

BACKGROUND

Only a small proportion of individuals who initiate nonmedical use of prescription opioids (NUPO) transition to heroin, suggesting that more nuanced aspects of NUPO may be better indicators of risk for escalating opioid use trajectories. This study leveraged panel data to identify NUPO typologies based on NUPO characteristics associated with opioid risk trajectories (route of administration, motives) and compared rates of heroin initiation at follow-up across typologies.

METHODS

Latent class analyses were run among respondents with no history of heroin use from the Monitoring the Future Panel Study (base year N=10,408) at modal ages 18, 19/20, 21/22, 23/24, and 25/26. Indicators included oral NUPO, nonoral NUPO, and NUPO motives to experiment, have a good time with friends, get high, escape problems, manage pain, relax, and sleep. Heroin initiation at follow-ups through modal age 29/30 was predicted from class membership.

RESULTS

No NUPO, self-medication (oral, manage pain), recreational (oral, nonoral, experiment, get high, have a good time with friends), and mixed-motive (all routes, all motives) classes emerged. Heroin initiation rates did not differ across no NUPO and self-medication classes; recreational and mixed-motives classes initiated heroin at higher rates than the other classes and comparable rates to each other. Non-NUPO drug use prior to heroin initiation was prevalent in recreational and mixed-motive classes.

CONCLUSIONS

NUPO does not uniformly or uniquely increase risk for heroin initiation. Leveraging more nuanced indicators of risk for heroin use and targeting polysubstance use in addition to opioid-specific programming may enhance the efficacy of public health efforts.

Opioid prescription and opioid disorders in burns: A large database analysis from 1990 to 2019

BACKGROUND

Opioids remain crucial in the management of burn pain. A comprehensive analysis of opioid use in burns and their complications has not been investigated.

METHODS

Data were collected from TriNetX, a large multicenter database with de-identified patient information. The population included patients prescribed opioids on or following burn injury from January 1st, 1990, to December 31st, 2019. Opioid prescription use was analyzed after cohort stratification by decades: 1990-1999, 2000-2009, and 2010-2019. Outcomes for opioid-related disorders, opioid dependence, opioid abuse, intentional self-harm, and mental and behavioral disorders from psychoactive substance use were investigated.

RESULTS

Hydrocodone was the most frequently prescribed opioid in 1990-1999 and 2000-2009, with oxycodone taking the lead in 2010-2019 (p < 0.0001). During 1990-1999, patients had a decreased risk of recorded opioid-related disorders (RR=0.52), opioid dependence (RR=0.46), opioid abuse (RR=0.55), mental and behavioral disorders (RR=0.88), and intentional self-harm (RR=0.37) when compared to 2000-2009. A comparison of the 2000-2009-2010-2019 cohorts showed an increased risk of recorded opioid-related disorders (RR= 1.91), opioid dependence (RR=1.56), opioid abuse (RR=1.67), mental and behavioral disorders (RR =1.73), and intentional self-harm (RR=2.02).

CONCLUSIONS

The risk of opioid-related disorders has nearly doubled since the year 2000 warranting precautions when prescribing pain medications to burn patients.

Opioids and the Kidney: A Compendium

Opioids are a class of medications used in pain management. Unfortunately, long-term use, overprescription, and illicit opioid use have led to one of the greatest threats to mankind: the opioid crisis. Accompanying the classical analgesic properties of opioids, opioids produce a myriad of effects including euphoria, immunosuppression, respiratory depression, and organ damage. It is essential to ascertain the physiological role of the opioid/opioid receptor axis to gain an in-depth understanding of the effects of opioid use. This knowledge will aid in the development of novel therapeutic interventions to combat the increasing mortality rate because of opioid misuse. This review describes the current knowledge of opioids, including the opioid epidemic and opioid/opioid receptor physiology. Furthermore, this review intricately relates opioid use to kidney damage, navigates kidney structure and physiology, and proposes potential ways to prevent opioid-induced kidney damage.

Substance Use Disorders: Basic Overview for the Anesthesiologist

Substance use disorders (SUDs) represent a current major public health concern in the United States and around the world. Social and economic stressors secondary to the coronavirus disease 2019 (COVID-19) pandemic have likely led to an increase in SUDs around the world. This chronic, debilitating disease is a prevalent health problem, and yet many clinicians do not have adequate training or clinical experience diagnosing and treating SUDs. Anesthesiologists and other perioperative medical staff frequently encounter patients with co-occurring SUDs. By such, through increased awareness and education, physicians and other health care providers have a unique opportunity to positively impact the lives and improve the perioperative outcomes of patients with SUDs. Understanding commonly used terms, potentially effective perioperative screening tools, diagnostic criteria, basics of treatment, and the perioperative implications of SUDs is essential to providing adequate care to patients experiencing this illness.

New Synthetic Opioids: Clinical Considerations and Dangers

Since the early 2010s, synthetic opioids have significantly contributed to overall opioid-related overdose mortalities. For point of reference, of the 68,630 opioid-related deaths recorded in 2020, 56,516 involved synthetic opioids. During much of this period, fentanyl has been the most commonly used synthetic opioid. This time when fentanyl was the most popular opioid has been called the "third wave" of the opioid crisis, partly because it led to a sharp rise in deaths from overdoses. Other synthetic opioids, such as carfentanil, protonitazene, and isotonitazene, have also become more widely diverted for nonmedical used. Carfentanil is an even more potent fentanyl derivative that was initially used in the mid-1980s as a general anesthetic for large animals such as elephants. Related to its strong affinity for mu opioid receptors, carfentanil is still utilized in medicine and science today as a radiotracer for positron emission tomography imaging. Protonitazene and isotonitazene belong to a novel class of synthetic opioids called benzimidazoles that were manufactured in the 1950s as novel analgesics. These agents have come under recent scrutiny as designer synthetic opioids becoming more prevalent. However, to date, there is incomplete data regarding the prevalence of synthetic opioids, as traditional toxicology screenings may not be sensitive to detect these compounds at such low doses post-mortem, particularly when blood is drawn from the periphery instead of central tissues such as the brain, lung, or heart. This narrative review aims to highlight the clinical challenges presented by these new synthetic opioids.

Real-World Findings on the Characteristics and Treatment Exposures of Patients with Hidradenitis Suppurativa from US Claims Data

INTRODUCTION

Hidradenitis suppurativa (HS) is a chronic, debilitating, and painful inflammatory skin disease that significantly and negatively impacts patients' quality of life. The prevalence of HS in the USA is estimated to be 0.10%, with worldwide reports suggesting a prevalence closer to 1%. There is limited real-world evidence available on the care of patients with HS. We aimed to evaluate the trends in clinical care and treatment in the patient population with HS in the USA in a real-world setting.

METHODS

A cohort study was conducted using claims data from IBM MarketScan Databases, including the US Commercial Claims and Encounters with Medicare Supplemental and Coordination of Benefits (CCAE+MDCR) database and IBM US Medicaid database.

RESULTS

The annual prevalence of HS increased from 0.06% (2008) to 0.14% (2017), and from 0.17% (2008) to 0.31% (2017) among CCAE+MDCR and Medicaid patients, respectively. Dermatologist visits increased from 31.9% (2008) to 47.8% (2019) in CCAE+MDCR patients, and decreased from 10.9% (2008) to 8.5% (2018) in Medicaid patients. Opioid use decreased from 45.4% (2008) to 25.5% (2019) among CCAE+MDCR patients, and from 71.3% (2008) to 48.1% (2018) among Medicaid patients. Only 8.4% of CCAE+MDCR patients and 5.8% of Medicaid patients were exposed to any biologic in 2018.

CONCLUSIONS

Improved care and treatment of HS over the last decade, including the emergence of new treatments, have been accompanied by an increase in awareness and reported prevalence of the disease. However, there are still gaps in access to dermatologic care and low utilization of biologic therapies among patients with HS. INFOGRAPHIC.

Risk Attenuation and Amplification in the U.S. Opioid Crisis

The evolution of risk identification and ultimately the public and private responses that have become known collectively as the "opioid crisis" is an important case study in risk management due to the reach and magnitude of its impacts. This article examines a number of "signals" related to opioid risks using the social amplification of risk framework (SARF) to investigate a limited set of public-sector activities and policy responses. We evaluate whether the SARF presents an effective lens to examine the serious shortcomings of risk management of opioid use, which has a history of risk attenuation and, more recently, evidence of risk amplification. Our goal in this article is limited to addressing "goodness of fit" of the SARF as a descriptive tool. We consider whether the SARF effectively reveals important gaps in public risk management responses for the opioid example and other similarly situated societal risk problems. Applying SARF supports that its suggested relationship between risk signals and inappropriate attenuated public response does generate useful insights into regulatory efficacy for examples of public risk management. Similar such conclusions about inappropriate public responses stemming from the amplification factors are less supported because, in this case, the risk is, and continues to be, large. Overall, we find that the SARF's particular focus on the signaling function of risk information performs best as an organizational aid to study historical information rather than as a predictive tool for determining inappropriate risk management responses.

Prolonged Opioid Use following Hand Surgery: A Systematic Review and Proposed Criteria

Prolonged opioid use after surgery has been a contributing factor to the ongoing opioid epidemic. The purpose of this systematic review is to analyze the definitions of prolonged opioid use in prior literature and propose appropriate criteria to define postoperative prolonged opioid use in hand surgery.

Efficacy and safety of strong opioids for chronic noncancer pain and chronic low back pain: a systematic review and meta-analyses

ABSTRACT

In recent years, long-term prescribing and use of strong opioids for chronic noncancer pain (CNCP) has increased in high-income countries. Yet existing uncertainties, controversies, and differing recommendations make the rationale for prolonged opioid use in CNCP unclear. This systematic review and meta-analyses compared the efficacy, safety, and tolerability of strong opioids with placebo or nonopioid therapy in CNCP, with a special focus on chronic low back pain (CLBP). Systematic literature searches were performed in 4 electronic databases (MEDLINE, Web of Science, Cochrane Library, and CINAHL) in July 2019 and updated by regular alerts until December 2020. We included 16 placebo-controlled randomized controlled trials for CLBP and 5 studies (2 randomized controlled trials and 3 nonrandomized studies) of opioids vs nonopioids for CNCP in the quantitative and qualitative synthesis. Random effects pairwise meta-analyses were performed for efficacy, safety, and tolerability outcomes and subgroup analyses for treatment duration, study design, and opioid experience status. Very low to low certainty findings suggest that 4 to 15 weeks (short or intermediate term) opioid therapy in CLBP (compared with placebo) may cause clinically relevant reductions in pain but also more gastrointestinal and nervous system adverse events, with likely no effect on disability. By contrast, long-term opioid therapy (≥6 months) in CNCP may not be superior to nonopioids in improving pain or disability or pain-related function but seems to be associated with more adverse events, opioid abuse or dependence, and possibly an increase in all-cause mortality. Our findings also underline the importance and need for well-designed trials assessing long-term efficacy and safety of opioids for CNCP and CLBP.

Opioids in COVID-19: Two Sides of a Coin

Introduction: The treatment of most severe COVID-19 patients included the large-scale use of sedatives and analgesics-possibly in higher doses than usual-which was reported in the literature. The use of drugs that decrease mortality is necessary and opioids are important agents in procedures such as orotracheal intubation. However, these drugs seem to have been overestimated in the COVID-19 pandemic. We performed a review of the PubMed-Medline database to evaluate the use of opioids during this period. The following descriptors were used to enhance the search for papers: "Opioids", "COVID-19," "COVID-19 pandemic," "SARS-CoV-2," "Opioid use disorder," "Opioid dependence" and the names of the drugs used. We also evaluated the distribution of COVID-19 patients in Brazil and the applicability of opioids in our country during the COVID-19 pandemic. Results: Several positive points were found in the use of opioids in the COVID-19 pandemic, for instance, they can be used for analgesia in orotracheal intubation, for chronic pain management, and as coadjutant in the management of acute intensification of pain. However, high doses of opioids might exacerbate the respiratory depression found in COVID-19 patients, their chronic use can trigger opioid tolerance and the higher doses used during the pandemic might result in greater adverse effects. Unfortunately, the pandemic also affected individuals with opioid use disorder, not only those individuals are at higher risk of mortality, hospitalization and need for ventilatory support, but measures taken to decrease the SARS-CoV-2 spread such as social isolation, might negatively affect the treatment for opioid use disorder. In Brazil, only morphine, remifentanil and fentanyl are available in the basic health care system for the treatment of COVID-19 patients. Out of the 5,273,598 opioid units used in this period all over the country, morphine, fentanyl, and remifentanil, accounted for, respectively, 559,270 (10.6%), 4,624,328 (87.6%), and 90,000 (1.8%) units. Many Brazilian regions with high number of confirmed cases of COVID-19 had few units of opioids available, as the Southeast region, with a 0.23 units of opioids per confirmed COVID-19 case, and the South region, with 0.05 units. In the COVID-19 pandemic scenario, positive points related to opioids were mainly the occurrence of analgesia, to facilitate intubation and their use as coadjutants in the management of acute intensification of pain, whereas the negative points were indiscriminate use, the presence of human immunosuppressor response and increased adverse effects due to higher doses of the drug. Conclusion: The importance of rational and individualized use of analgesic hypnotics and sedative anesthetics should be considered at all times, especially in situations of high demand such as the COVID-19 pandemic.

Health Behavior Survey Among People Who Use Opioids: Protocol for Implementing Technology-Based Rapid Response Surveillance in Community Settings

Background

In 2018, 2 million Americans met the Diagnostic and Statistical Manual of Mental Disorders, 5th Edition diagnostic criteria for an opioid use disorder, and 9.9 million Americans had misused prescription pain relievers the previous year. Despite a rapid increase in opioid misuse, opioid use disorders, and overdoses, data are limited on the behavioral and contextual risks as well as the protective factors fueling the opioid epidemic in some hard hit US cities—Atlanta, Los Angeles, and Las Vegas. Opioid use also contributes to the risk of other health problems such as HIV and hepatitis C virus infections or mental health disorders and is linked to behavioral and environmental risks (eg, homelessness, experiences of violence, involvement in the justice system). Knowledge of the relationships between these linked vulnerabilities and how they influence service utilization is critical to effective policy and interventions.

Objective

This survey explores the relationships between demographic and economic characteristics, behavioral and environmental risk factors, and service utilization of people who use opioids to inform public health practice, policy, and future efforts to mitigate the risks faced by this population experiencing multiple health, social, and economic vulnerabilities. The results of this survey will be used to identify needs and intervention points for people who use drugs currently served by public health organizations.

Methods

We implemented a community-engaged strategy that involved development and execution of a two-stage purposive sampling plan involving selection of partner organizations (syringe exchange programs in urban settings) and recruitment and enrollment of participants aged 18-69 years served by these organizations in Atlanta, Los Angeles, and Las Vegas from 2019 to 2020. The recruited participants completed a survey, including a variety of measures to assess health (physical and mental) and health behaviors such as sexual behavior, vaccine receipt, and HIV/ hepatitis C virus infection testing. Additional items assessed drug use and misuse, syringe exchange and health service utilization, sex exchange, histories of interpersonal violence, and vaccine confidence.

Results

This protocol was successfully implemented despite challenges such as real-time technology issues and rapidly finding and surveying a difficult-to-reach population. We sampled 1127 unique participants (248 in Atlanta, 465 in Los Angeles, and 414 in Las Vegas).

Conclusions

The establishment and utilization of strong community partnerships enabled the rapid collection of data from a typically difficult-to-reach population. Local efforts such as these are needed to develop policies and practices that promote harm reduction among people who use opioids.

International Registered Report Identifier (IRRID)

RR1-10.2196/25575

Spread the Word: There Are Two Opioid Crises!

Pain is associated with emotional and physical suffering that severely impacts quality of life. Many guidelines for the treatment of moderate to severe cancer pain indicate the use of opioids. For a small proportion of the global population, opioids are readily accessible, but are consequently also subject to risk of overuse and misuse. On the other hand, many regions provide limited access to licensed opioid therapeutics and patients struggle for better pain management. The use of prescription opioids for treatment of severe cancer and acute pain is well established, but opioid use in chronic non-cancer pain is controversial and not supported by the literature. The opioid crisis and the increasing overdose fatalities in some countries have resulted in a resurgence of opiophobia in these countries, but even worse, amplified opiophobia in countries with lower opioid consumption. In this narrative review, we highlight how the opioid crisis of overuse in some countries can negatively impact appropriate access to opioids elsewhere. The availability of opioids for clinical and recreational use differs between countries worldwide-this is an important factor in determining the occurrence of a 'crisis of recreational use of opioids' or a 'crisis of under-prescription of opioids' for pain management.

In the Arms of Morpheus without Morphia; Mitigating the United States Opioid Epidemic by Decreasing the Surgical Use of Opioids

The opioid epidemic is a major public health issue in the United States. Exposure of opioid naïve-patients to opioids in the perioperative period is a well-documented source of continued use with one in 20 opioid-naïve surgical patients continuing to use opioids beyond 90 days. There is no association with magnitude of surgery, major versus minor, and the strongest predictor of continued use is surgical exposure. Causal factors include over reliance on opioids for intraoperative and postoperative analgesia and excessive ambulatory opioid prescribing. Opioid-induced hyperalgesia can paradoxically result from intraoperative (anesthesia controlled) opioid administration. Increasing size of initial prescription is a strong predictor of continued use necessitating procedure specific supplies limited to under 3-days. Alternative multimodal pain management (non-opioid medications and regional anesthesia) that limit opioid use must be a high priority with opioids reserved for severe breakthrough pain. Barriers to implementation of opioid-sparing pathways include reluctance to adopt protocols and apprehension about opioid elimination. Considering the number of surgeries performed annually in the United States, perioperative physicians must aggressively address modifiable factors in surgical patients. Patient care pathways need to be constructed collaboratively by surgeons and anesthesiologists with continuing feedback to optimize patient outcomes including iatrogenic opioid dependence.

Data Needs in Opioid Systems Modeling: Challenges and Future Directions

INTRODUCTION

The opioid crisis is a pervasive public health threat in the U.S. Simulation modeling approaches that integrate a systems perspective are used to understand the complexity of this crisis and analyze what policy interventions can best address it. However, limitations in currently available data sources can hamper the quantification of these models.

METHODS

To understand and discuss data needs and challenges for opioid systems modeling, a meeting of federal partners, modeling teams, and data experts was held at the U.S. Food and Drug Administration in April 2019. This paper synthesizes the meeting discussions and interprets them in the context of ongoing simulation modeling work.

RESULTS

The current landscape of national-level quantitative data sources of potential use in opioid systems modeling is identified, and significant issues within data sources are discussed. Major recommendations on how to improve data sources are to: maintain close collaboration among modeling teams, enhance data collection to better fit modeling needs, focus on bridging the most crucial information gaps, engage in direct and regular interaction between modelers and data experts, and gain a clearer definition of policymakers' research questions and policy goals.

CONCLUSIONS

This article provides an important step in identifying and discussing data challenges in opioid research generally and opioid systems modeling specifically. It also identifies opportunities for systems modelers and government agencies to improve opioid systems models.

Reducing Risk for Adolescent Substance Misuse with Text-Delivered Counseling to Adolescents and Parents

Background: Text-delivered prevention programs provide unique opportunities to deliver substance use prevention interventions to at-risk populations. Methods: A pilot randomized controlled trial was conducted to test the feasibility, acceptability, and preliminary efficacy of a 4-week, automated personalized text-messaging prevention program, designed to reduce risk factors and increase protective factors associated with adolescent substance use and misuse. Sixty-nine adolescents were recruited from a Federally Qualified Health Care clinic and randomized to a text-delivered intervention, or a wait-list control condition. Simultaneously, fifty-two parents of adolescent participants were enrolled into a parenting skills text-delivered intervention. Participants completed a baseline assessment and three follow-up surveys over three-months. Adolescent saliva specimens for drug testing were collected. Results: All intervention-allocated adolescents implemented at least one of the text-based counseling recommendations and 79% indicated that they found the texts helpful. Significant intervention effects were found on risk and protective factors for substance misuse. Adolescents in the intervention group reported reduced depression symptoms (d = -.63) and anxiety symptoms (d = -.57). Relative to controls, adolescents in the intervention group maintained a higher quality of parental relationship (d = .41) and parenting skills (d = .51), suggesting a prophylactic effect. Marginal decrease in the odds of positive drug tests were found for youth in intervention group (77.1% decrease, p = 0.07) but not with controls (54.3% decrease, p = 0.42,). Conclusions: Results provide preliminary evidence in the feasibility, acceptability, and efficacy of targeting risk and protective factors that are implicated in substance use via text-delivered interventions for high-risk populations.

A comprehensive review of partial opioid agonists for the treatment of chronic pain

Chronic pain is a common condition that is being increasingly recognized, diagnosed, and treated in a variety of settings. Opioids can be used to treat chronic pain but at the cost of adverse effects and risk of dependence. Recently, there has been a movement to improve analgesic care in the setting of the opioid epidemic and the overprescribing of opioids, causing over-accessibility, dependence, and large numbers of overdose deaths. Opioid-specific receptors, including the μ, δ, κ, and opioid receptor like-1 (ORL-1) receptors, are each 7-transmembrane spanning proteins, which affect the G-protein and β-arrestin cascades. Each opioid class can act differently on the receptors, resulting in full, partial, or antagonizing effects. This comprehensive review looks at different agents in major classes, nonselective and mixed/partial agonists/antagonists, including the nonselective partial agonists, levorphanol and tramadol. Mixed partial agonists/antagonists include buprenorphine, pentazocine, nalbuphine, and butorphanol. Oliceridine is the only current selective partial agonist that agonizes specific pathways to promote analgesic effects and discourage adverse effects.