Development Of Opioid Use Disorder Research Articles

Perioperative pain optimization in the age of the opioid epidemic.

The opioid epidemic remains a constant and increasing threat to our society with overdoses and overdose deaths rising significantly during the COVID-19 pandemic. Growing evidence suggests a link between perioperative opioid use, postoperative opioid prescribing, and the development of opioid use disorder (OUD). As a result, strategies to better optimize pain management during the perioperative period are urgently needed. The purpose of this review is to summarize the most recent multimodal analgesia (MMA) recommendations, summarize evidence for efficacy surrounding the increased utilization of Enhanced Recovery After Surgery (ERAS) protocols, and discuss the implications for rising use of buprenorphine for OUD patients who present for surgery. In addition, this review will explore opportunities to expand our treatment of complex patients via transitional pain services. There is ample evidence to support the benefits of MMA. However, optimal drug combinations remain understudied, presenting a target area for future research. ERAS protocols provide a more systematic and targeted approach for implementing MMA. ERAS protocols also allow for a more comprehensive approach to perioperative pain management by necessitating the involvement of surgical specialists. Increasingly, OUD patients taking buprenorphine are presenting for surgery. Recent guidance from a multisociety OUD working group recommends that buprenorphine not be routinely discontinued or tapered perioperatively. Lastly, there is emerging evidence to justify the use of transitional pain services for more comprehensive treatment of complex patients, like those with chronic pain, preoperative opioid tolerance, or substance use disorder. Perioperative physicians must be aware of the impact of the opioid epidemic and explore methods like MMA techniques, ERAS protocols, and transitional pain services to improve the perioperative pain experience and decrease the risks of opioid-related harm.

Use of prescription opioids in Israel and socio-economic correlations between 2010 and 2020

BackgroundThe use of opioids has increased dramatically over the past several years in Israel. The aim of this study was to explore the trends of opioid consumption in Israel over a decade (2010–2020) stratified by socioeconomic status (SES), residence in the periphery, and ethnic background.MethodsThis cross-sectional study included all adult Maccabi Healthcare Services (MHS) patients who filled at least one prescription for opioids during the past decade. In order to standardize dosages and compare different opioid medications, we used the Morphine Milligram Equivalent (MME) conversion factor. We performed The Mann–Kendall test with autocorrelation correction to assess each trend. We then checked the differences between the trends with the Mann–Whitney test (for periphery) and the Kruskal Wallis (for SES and ethnic background).ResultsBetween the years 2010–2020, 261,270 MHS members met the study's inclusion criteria. The proportions of opioids consumption were 23.9/1000 patients in 2010 and 27.6/1000 patients in 2020, representing a 15% increase. The average daily consumption of opioids was 4.6 and 10.5 MME in 2010 and 2020, respectively, an increase of 227%. The daily MME during 2020 was higher for residents of the periphery compared to non-periphery residents (daily MME of 14.0 compared to 10.1, respectively). Average daily MME increased gradually during the study period for all levels of SES; the values were highest for the low SES group and the lowest for the high SES group (daily MME in 2020 for the lowest, middle, and high SES groups were 15.2 vs. 11.8 vs. 6.7 respectively).ConclusionsThis study highlights that the primary concern in the increase of opioid use is the increasing dosages. The increase in the number of patients using opioids is also significant but to a minor extent. These phenomena disproportionately impact vulnerable populations. Education programs should be offered to physicians regarding the possible harms of long-term use of opioids. These programs should emphasize the risk factors associated with the development of opioid use disorder (OUD) and the caution needed when increasing dosages or switching to higher-potency drugs. Pain clinics and centers for rehabilitation for patients with chronic pain or OUD should be available, not only in central areas but also in the periphery of the country. These clinics and centers should use a holistic approach and a multidisciplinary team that includes specialists in pain and addiction. They should be financially accessible for patients from low SES group and provide solutions in multiple languages.

Development of Opioid Use Disorder Following Breast Reconstructive Surgery: Effects of Nicotine Dependence

Development of Opioid Use Disorder Following Breast Reconstructive Surgery: Effects of Nicotine Dependence

Is post-traumatic stress disorder a risk factor for development of opioid use disorder among individuals with chronic non-cancer pain? A systematic review.

There is emerging evidence that posttraumatic-stress disorder may have mediating effects in development of chronic-non-cancer-pain and opioid-use-disorder independently, but its impact on the development of opioid-use-disorder in people with chronic-non-cancer pain is still unclear. (i) Estimate the risk of opioid-use-disorder among individuals with chronic-non-cancer-pain and posttraumatic-stress disorder, relative to those with chronic-non-cancer-pain only, and (ii) identify potential correlates of opioid-use-disorder among people with chronic-non-cancer-pain and posttraumatic-stress disorder. This systematic review was conducted as per the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Longitudinal, epidemiological, cohort, follow-up, retrospective, prospective and cross-sectional studies reporting measures of variance on the likelihood of developing opioid-use-disorder with posttraumatic-stress disorder among individuals with chronic-non-cancer-pain were identified from six-electronic databases (Medline, Embase, Evidence-based Medicine reviews, PsycINFO, Scopus and Web of Science) until December 2022. Three out of the four studies, which met the selection criteria for this analysis reported statistically significant positive association between risk of developing opioid-use-disorder with posttraumatic-stress disorder among chronic-non-cancer-pain cohort (unadjusted Relative-Risk range: 1.51-5.27) but this association was not evident in the fourth study (adjusted Relative-Risk: 0.96; statistically non-significant), when adjusted for sociodemographic variables. The increased risk was noted particularly with females and chronic musculoskeletal pain conditions. Posttraumatic-stress disorder can increase the risk of development of opioid-use-disorder among people with chronic-non-cancer-pain and a better understanding of this relationship will help to predict and prevent the development of opioid-use-disorder and may also help in reducing the disability and burden associated with chronic-non-cancer-pain. This review quantifies the risk of developing opioid-use-disorder in the context of posttraumatic-stress disorder among individuals with chronic-non-cancer-pain. Awareness and subsequent practice change will reduce the increasing global burden associated with the chronic-non-cancer-pain.

Fentanyl-induced reward seeking is sex and dose dependent and is prevented by D-cysteine ethylester.

Introduction: Despite their inclination to induce tolerance, addictive states, and respiratory depression, synthetic opioids are among the most effective clinically administered drugs to treat severe acute/chronic pain and induce surgical anesthesia. Current medical interventions for opioid-induced respiratory depression (OIRD), wooden chest syndrome, and opioid use disorder (OUD) show limited efficacy and are marked by low success in the face of highly potent synthetic opioids such as fentanyl. D-Cysteine ethylester (D-CYSee) prevents OIRD and post-treatment withdrawal in male/female rats and mice with minimal effect on analgesic status. However, the potential aversive or rewarding effects of D-CYSee have yet to be fully characterized and its efficacy could be compromised by interactions with opioid-reward pathology. Methods: Using a model of fentanyl-induced conditioned place preference (CPP), this study evaluated 1) the dose and sex dependent effects of fentanyl to induce rewarding states, and 2) the extent to which D-CYSee alters affective state and the acquisition of fentanyl-induced seeking behaviors. Results: Fentanyl reward-related effects were found to be dose and sex dependent. Male rats exhibited a range-bound dose response centered at 5µg/kg. Female rats exhibited a CPP only at 50µg/kg. This dose was effective in 25% of females with the remaining 75% showing no significant CPP at any dose. Pretreatment with 100mg/kg, but not 10mg/kg, D-CYSee prevented acquisition of fentanyl seeking in males while both doses were effective at preventing acquisition in females. Discussion: These findings suggest that D-CYSee is an effective co-treatment with prescribed opioids to reduce the development of OUD.

Acute Pain and Development of Opioid Use Disorder: Patient Risk Factors.

Pharmacological therapy for acute pain carries the risk of opioid misuse, with opioid use disorder (OUD) reaching epidemic proportions worldwide in recent years. This narrative review covers the latest research on patient risk factors for opioid misuse in the treatment of acute pain. In particular, we emphasize newer findings and evidence-based strategies to reduce the prevalence of OUD. This narrative review captures a subset of recent advances in the field targeting the literature on patients' risk factors for OUD in the treatment for acute pain. Besides well-recognized risk factors such as younger age, male sex, lower socioeconomic status, White race, psychiatric comorbidities, and prior substance use, additional challenges such as COVID-19 further aggravated the opioid crisis due to associated stress, unemployment, loneliness, or depression. To reduce OUD, providers should evaluate both the individual patient's risk factors and preferences for adequate timing and dosing of opioid prescriptions. Short-term prescription should be considered and patients at-risk closely monitored. The integration of non-opioid analgesics and regional anesthesia to create multimodal, personalized analgesic plans is important. In the management of acute pain, routine prescription of long-acting opioids should be avoided, with implementation of a close monitoring and cessation plan.

Best Practice Alerts: A Poke in the Eye or an Efficient Method for Safer Prescribing?

Best Practice Alerts: A Poke in the Eye or an Efficient Method for Safer Prescribing?

Patients’ Perspectives on the Development of Prescription Opioid Use Disorder in Patients with Chronic Non-Cancer Pain

Introduction: In the past decade, prescription opioid use increased exponentially and concomitantly opioid use disorders (OUD) are becoming more common. Several risk factors for developing OUD have been identified, but little is known regarding the patients’ perspective on developing a prescription OUD. Methods: We recruited 25 adults undergoing treatment for prescription OUD. In-depth, semi-structured interviews focussed on experiences with long-term opioid use, knowledge and attitudes regarding opioids, and access to opioids. A directed content analysis was conducted on the transcribed interviews using NVivo. Results: Participants showed that the development of an OUD is affected by various factors which could be grouped into three themes: (1) experiences driving initiation, (2) experiences driving continuation, and (3) experiences with prescription OUD. Besides the need for pain management, the dynamics of patient-provider communication, care coordination, provider vigilance, and environmental support all contributed to the way patients used their opioids. Conclusion: Patients’ experiences illustrate that the first stage of the development of prescription OUD differs from the development of other substance addictions. Negative reinforcement might play a more prominent role in the early phase of prescription opioid use. Patients expressed a lack of guidance, both at the start of use and long-term use, easy access to new prescriptions and a lack of monitoring as main drivers of the development. Poorly controlled pain and subjective stress fuelled continuous opioid use.

The prescription drug monitoring program in a multifactorial approach to the opioid crisis: PDMP data, Pennsylvania, 2016–2020

BackgroundPrescription opioids remain an important contributor to the United States opioid crisis and to the development of opioid use disorder for opioid-naïve individuals. Recent legislative actions, such as the implementation of state prescription drug monitoring programs (PDMPs), aim to reduce opioid morbidity and mortality through enhanced tracking and reporting of prescription data. The primary objective of our study was to describe the opioid prescribing trends in the state of Pennsylvania (PA) as recorded by the PA PDMP following legislative changes in reporting guidelines, and discuss the PDMP’s role in a multifactorial approach to opioid harm reduction.MethodsState-level opioid prescription data summaries recorded by the PA PDMP for each calendar quarter from August 2016 through March 2020 were collected from the PA Department of Health. Data for oxycodone, hydrocodone, and morphine were analyzed by quarter for total prescription numbers and refills. Prescription lengths, pill quantities, and average morphine milliequivalents (MMEs) were analyzed by quarter for all 14 opioid prescription variants recorded by the PA PDMP. Linear regression was conducted for each group of variables to identify significant differences in prescribing trends.ResultsFor total prescriptions dispensed, the number of oxycodone, hydrocodone, and morphine prescriptions decreased by 34.4, 44.6, and 22.3% respectively (p < 0.0001). Refills fluctuated less consistently with general peaks in Q3 of 2017 and Q3 of 2018 (p = 0.2878). The rate of prescribing for all opioid prescription lengths decreased, ranging in frequency from 22 to 30 days (47.5% of prescriptions) to 31+ days of opioids (0.8% of prescriptions) (p < 0.0001). Similarly, decreased prescribing was observed for all prescription amounts, ranging in frequency from 22 to 60 pills (36.6% of prescriptions) to 60–90 pills (14.2% of prescriptions) (p < 0.0001). Overall, the average MME per opioid prescription decreased by 18.9%.ConclusionsPer the PA PDMP database, opioid prescribing has decreased significantly in PA from 2016 to 2020. The PDMP database is an important tool for tracking opioid prescribing trends in PA, and PDMPs structured similarly in other states may enhance our ability to understand and influence the trajectory of the U.S. opioid crisis. Further research is needed to determine optimal PDMP policies and practices nationwide.

Postoperative Opioid Use Among Opioid-Naive Cannabis Users Following Single-Level Lumbar Fusions

As the literature grows on opioid use, the impact of simultaneous cannabis use has hitherto been mostly unexplored. In this study, we assessed the effects of cannabis use on postoperative opioid utilization in opioid-naive patients undergoing single level fusions of the lumbar spine. Using an all-payer claims database, the medical records of 91 million patients were analyzed to identify patients who had undergone single level lumbar fusions between January 2010 and October 2020. Rates of opioid utilization at 6months following index procedure (morphine milligram equivalents/day), the development of opioid use disorder (OUD), and the rates of opioid overuse were assessed. Following examination of 87,958 patient records, 454 patients were matched and distributed equally into cannabis user and noncannabis user cohorts. At 6months following index procedure, cannabis users were equal to nonusers in their rates of prescribed opioid utilization (49.78%, P > 0.99). Cannabis users used smaller daily dosages compared to nonusers (51.1±35.05 vs. 59.72±41, P= 0.003). On the other hand, the proportion of patients diagnosed with OUD was found to be significantly higher among patients using cannabis (18.94% vs. 3.96%, P < 0.0001). Compared to noncannabis users, opioid-naive patients who are cannabis users undergoing lumbar spinal fusions are at a higher risk of developing opioid dependence following surgery, despite having decreased daily dosages of opioids overall. Further studies should explore the factors associated with the development of OUD and the details of concurrent marijuana use to effectively treat pain while limiting the potential for abuse.

Opioid Represcriptions After ACL Reconstruction in Adolescents Are Associated With Subsequent Opioid Use Disorder.

Postoperative opioid prescriptions may confer a risk for subsequent opioid use disorders (OUDs). For many children, postoperative analgesia is often the first opioid exposure. The rates of anterior cruciate ligament (ACL) reconstruction in pediatric populations are rising. Here, we use an administrative claims database to describe opioid prescription patterns after ACL reconstruction and their effect on subsequent risk of OUD. Using International Classification of Diseases (ICD)-9, ICD-10, and CPT codes, we identified patients, with ages 10 to 18, undergoing primary ACL reconstruction between 2014 and 2016 with minimum 1 year follow-up in the Optum Clinformatics Data Mart, which is a nationally representative administrative claims database. Demographic variables and prescription patterns (in morphine milligram equivalents [MMEs]) were analyzed using univariate tests and multivariable logistic regression to determine any potential association with the appearance of anew an ICD-9 or ICD-10 code for OUD within 1 year of the initial procedure. A total of 4459 cases were included and 29 (0.7%) of these patients were diagnosed with an OUD within 1 year of surgery. Upon univariate analysis, opioid represcriptions within 6 weeks were significantly more common among patients with OUD; 27.6% vs. 9.7% of patients that did not develop a new diagnosis of OUD ( P =0.005). Multivariable logistic regression indicated an independent significant relationship between total MMEs initially prescribed and the odds of a subsequent OUD diagnosis: for each additional 100 MMEs prescribed in total, the odds of OUD increased by 13% ( P =0.002). Patients with a represcription within 6 weeks of surgery had an average increase in the odds of OUD by 161% ( P =0.027). In this cohort of patient ages 10 to 18 undergoing primary isolated ACL reconstruction, we found substantial variability in opiate prescribing patterns and higher initial opioid prescription volume, as well as opioid represcription within 6 weeks were predictive of the subsequent development of OUD. Level III.

The incidence of opioid misuse among the surgical patients with persistent opioid use.

To calculate the monthly incidence of opioid-related adverse events in the opioid-naïve patients who contin-ue to use opioids in the post-operative period. An estimate of 1-6 percent of surgery patients con-tinues to persistently use the opioids longer than 90 post-operative days. However, the association of the opioid ad-verse events with the persistent post-operative use is not clearly known. This is a historical (retrospective) cohort study of the opioid-naïve US Veterans between the ages of 18 and 85. The surgical group (who had major surgery between January 1, 2008 and December 31, 2015) was compared to the control references. The outcome of opioid misuse was either opioid overdose or the development of opioid use disorder. Each case was followed for 13 months. The monthly incidence of opioid misuse was calculated by dividing the number of new opioid misuse divided by the number of patients who are still filling the prescription for opioid medications in that specific month. A total of 150,088 surgical patients and 1,145,553 controls met the inclusion criteria. The risk of opioid misuse was between 0.3 and 1.8 percent for first 11 post-operative months among both groups. The incidence of opioid misuse increases to 4.6 percent (95 percent CI: 3.2-6.4) at 12 months and to 8.1 percent (95 percent CI: 5.6-11.5) at 13th post-operative month. The incidence also increases to 2.3 percent (95 percent CI: 1.6-3.4) at 12th and 3.9 percent (95 percent CI: 2.5-6.0) at 13th follow-up month among the control references. After initiation of opioid pre-scription, the opioid misuse occurs, and the incidence increases dramatically after the 11th month regardless of the reason for opioid therapy initiation (surgery vs chronic conditions). The risks/-benefits of opioid use must be evaluated more frequently with the longer opioid use.

Linking the gut microbiome to microglial activation in opioid use disorder.

Substance use disorder (SUD) is a physical and psychological disorder globally prevalent today that has resulted in over 107,000 drug overdose deaths in 2021 in the United States alone. This manuscript reviews the potential relationship between opioid use disorder (OUD), a prevalent subset of SUD, and the microglia, the resident macrophages of the central nervous system (CNS), as they have been found to become significantly more activated during opioid exposure. The inflammatory response mediated by the microglia could contribute to the pathophysiology of SUDs, in particular OUD. Further understanding of the microglia and how they respond to not only signals in the CNS but also signals from other areas of the body, such as the gut microbiome, could explain how the microglia are involved in drug use. Several studies have shown extensive communication between the gut microbiome and the microglia, which may be an important factor in the initiation and development of OUD. Particularly, strategies seeking to manipulate and restore the gut microbiome have been shown to reduce microglial activation and attenuate inflammation. In this review, we discuss the evidence for a link between the microglia and OUD and how the gut microbiome might influence microglial activation to drive the disorder and its associated behaviors. Understanding this connection between microglia and the gut microbiome in the context of drug use may present additional therapeutic targets to treat the different stages of drug use.

Mu-opioid receptor and receptor tyrosine kinase crosstalk: Implications in mechanisms of opioid tolerance, reduced analgesia to neuropathic pain, dependence, and reward.

Despite the prevalence of opioid misuse, opioids remain the frontline treatment regimen for severe pain. However, opioid safety is hampered by side-effects such as analgesic tolerance, reduced analgesia to neuropathic pain, physical dependence, or reward. These side effects promote development of opioid use disorders and ultimately cause overdose deaths due to opioid-induced respiratory depression. The intertwined nature of signaling via μ-opioid receptors (MOR), the primary target of prescription opioids, with signaling pathways responsible for opioid side-effects presents important challenges. Therefore, a critical objective is to uncouple cellular and molecular mechanisms that selectively modulate analgesia from those that mediate side-effects. One such mechanism could be the transactivation of receptor tyrosine kinases (RTKs) via MOR. Notably, MOR-mediated side-effects can be uncoupled from analgesia signaling via targeting RTK family receptors, highlighting physiological relevance of MOR-RTKs crosstalk. This review focuses on the current state of knowledge surrounding the basic pharmacology of RTKs and bidirectional regulation of MOR signaling, as well as how MOR-RTK signaling may modulate undesirable effects of chronic opioid use, including opioid analgesic tolerance, reduced analgesia to neuropathic pain, physical dependence, and reward. Further research is needed to better understand RTK-MOR transactivation signaling pathways, and to determine if RTKs are a plausible therapeutic target for mitigating opioid side effects.

Primary care providers’ influence on opioid use and its adverse consequences

Primary care is the most frequently utilized health service and is the source of nearly half of all opioids prescribed in the United States. This paper studies the impact of exposure to high prescribing primary care providers (PCP) on opioid use, opioid use disorder, and mental health. Using electronic health records, we exploit within-facility quasi-random assignment of providers, who differ in their opioid prescribing tendency, to 650,000 new patients enrolling in care with the Veterans Health Administration. We find that assignment to a PCP who prescribes opioids at a 2.54 percentage point (pp) higher rate (equivalent to the average difference between a 90th and 10th percentile prescriber within a facility) increases the probability of long-term opioid use by 20% (or 0.43 pp) and development of opioid use disorder by 4% (or 0.035 pp). Veterans’ mental health deteriorates: the three-year likelihood of a depression diagnosis increases by 1.3% (or 0.31 pp). We find that PCPs with more cautious prescribing behavior rely more on non-opioid pain management and adhere more to clinical recommendations on naloxone distribution.

Risk factors for the development of opioid use disorder after first opioid prescription: a Swedish national study.

We need to better understand the frequency and predictors of opioid use disorder (OUD) after first opioid prescription (OP). We followed 1 516 392 individuals from the Swedish population born 1980-2000, from 1 July 2007, until 31 Dec 2017. We examined putative risk predictors with univariable and multivariable Cox Models and the potential causal effects of predictors by propensity score and co-sibling analyses. Of the individuals in our cohort, 24.8% (375 404) received a first OP, of whom 3034 (0.90%) developed a subsequent first OUD. The hazard ratio (HR) (± 95% CIs) for OUD after OP equaled 7.10 (6.75-7.46), with a mean time to onset of 3.41 (2.39) years. The strongest putative risk factors for development of OUD after OP were prior psychiatric and substance use disorders, criminal behavior, parental divorce/death, poor school performance, current community deprivation, divorce, and male sex. Few predictors differed across sexes. OP renewal was associated with a HR of 3.66 (3.41-3.93) for OUD. Co-sibling and propensity score analyses suggested that at least a moderate proportion of the risk factor-OUD association was likely causal. A risk score to predict OUD after OP had an AUC of 0.85, where nearly 60% of cases scoring in the top decile. In a general population sample, an OP represents a substantial risk factor for subsequent OUD. Many of the risk factors for OUD after OP can be readily assessed at the time of potential OP, permitting clinicians to evaluate the risk of iatrogenic OUD.

Racial inequities in opioid use disorder management: can the anesthesiologist improve outcomes?

Racial inequities in opioid use disorder management: can the anesthesiologist improve outcomes?

Perceptions on wearable sensor-based interventions for monitoring of opioid therapy: A qualitative study.

Prescription opioid use is a risk factor for the development of opioid use disorder. Digital solutions, including wearable sensors, represent a promising opportunity for health monitoring, risk stratification and harm reduction in this treatment space. However, data on their usability and acceptability in individuals using opioids is limited. To address this gap, factors that impact usability and acceptability of wearable sensor-based opioid detection were qualitatively studied in participants enrolled in a wearable sensor-based opioid monitoring research study. At the conclusion of the monitoring period, participants were invited to take part in semi-structured interviews developed based on the technology acceptance model. Thematic analysis was conducted first using deductive, then inductive coding strategies. Forty-four participants completed the interview; approximately half were female. Major emergent themes include sensor usability, change in behavior and thought process related to sensor use, perceived usefulness in sensor-based monitoring, and willingness to have opioid use patterns monitored. Overall acceptance for sensor-based monitoring was high. Aesthetics, simplicity, and seamless functioning were all reported as key to usability. Perceived behavior changes related to monitoring were infrequent while perceived usefulness in monitoring was frequently projected onto others, requiring careful consideration regarding intervention development and targeting. Specifically, care must be taken to avoid stigma associated with opioid use and implied misuse. The design of sensor systems targeted for opioid use must also consider the physical, social, and cognitive alterations inherent in the respective disease processes compared to routine daily life.

Endogenous opioid systems alterations in pain and opioid use disorder.

Decades of research advances have established a central role for endogenous opioid systems in regulating reward processing, mood, motivation, learning and memory, gastrointestinal function, and pain relief. Endogenous opioid systems are present ubiquitously throughout the central and peripheral nervous system. They are composed of four families, namely the μ (MOPR), κ (KOPR), δ (DOPR), and nociceptin/orphanin FQ (NOPR) opioid receptors systems. These receptors signal through the action of their endogenous opioid peptides β-endorphins, dynorphins, enkephalins, and nociceptins, respectfully, to maintain homeostasis under normal physiological states. Due to their prominent role in pain regulation, exogenous opioids-primarily targeting the MOPR, have been historically used in medicine as analgesics, but their ability to produce euphoric effects also present high risks for abuse. The ability of pain and opioid use to perturb endogenous opioid system function, particularly within the central nervous system, may increase the likelihood of developing opioid use disorder (OUD). Today, the opioid crisis represents a major social, economic, and public health concern. In this review, we summarize the current state of the literature on the function, expression, pharmacology, and regulation of endogenous opioid systems in pain. Additionally, we discuss the adaptations in the endogenous opioid systems upon use of exogenous opioids which contribute to the development of OUD. Finally, we describe the intricate relationship between pain, endogenous opioid systems, and the proclivity for opioid misuse, as well as potential advances in generating safer and more efficient pain therapies.

Quality of Life and Opioid Use Motives: Direct and Indirect Associations with Risky Opioid Use in a Community Sample of Adults

Purpose: The opioid epidemic in the United States has resulted in mass mortality and economic costs exceeding $1 trillion. Poor health-related quality of life is evident among individuals entering treatment for opioid use disorder (OUD). Yet, little research has examined the influence of quality of life on risky opioid use among non-treatment-seeking adults. To help inform OUD prevention efforts, this study examined the association among quality of life domains, opioid use motives, and risky opioid behaviors in a community sample of opioid users. Methods: Participants (N = 278) were adults who endorsed past month opioid use and were not currently in treatment for OUD. Participants responded to questions regarding their opioid use and misuse, opioid use motives, opioid use consequences, and quality of life. Results: The physical health domain of quality of life was associated with risky opioid use. Specifically, poorer physical health predicted risky opioid use and this relationship was partially explained by more social and pain motives to use opioids. Surprisingly, no other quality of life domains predicted risky opioid use. Conclusion: This study represents a meaningful first step in identifying optimal targets for OUD prevention efforts with community samples. Our findings suggest that physical health is an important quality of life indicator to prevent opioid-related harm and development of OUD.