Reframing the Opioid Epidemic as a National Emergency

Effects of intraoperative low-dose esketamine on postoperative pain after vestibular schwannoma resection: A prospective randomized, double-blind, placebo-controlled study

AIMS

Esketamine may reduce acute postoperative pain in several settings. However, the effects of low-dose esketamine on postoperative pain after vestibular schwannoma (VS) resection with propofol/remifentanil total intravenous anaesthesia (TIVA) are unclear. The aim of this study is to observe the effects of intraoperative low-dose esketamine on postoperative pain after vestibular schwannoma resection.

METHODS

This single-centre, randomized, placebo-controlled, double-blind trial included 90 adults undergoing VS resection via the retrosigmoid approach with TIVA. The patients were randomly allocated to two groups: esketamine or control (n = 45 in each group). Patients received low-dose esketamine (0.2 mg/kg) or a similar volume of normal saline after dural closure. The primary outcome was the pain score during movement (gentle head movement) at 24 h postoperatively. Secondary outcomes included recovery time, bispectral index (BIS) values and haemodynamic profiles during the first 30 min after esketamine administration, and adverse effects.

RESULTS

Low-dose esketamine did not reduce pain scores at rest (P > .05) or with movement (P > .05) within the first 24 h after surgery. Esketamine moderately increased BIS values for at least 30 min after administration (P < .0001) but did not affect heart rate (P = .992) or mean arterial blood pressure (P = .994). Esketamine prolonged extubation time (P = .042, 95% confidence interval: 0.08 to 4.42) and decreased the effect-site concentration of remifentanil at extubation (P = .001, 95% confidence interval: -0.53 to -0.15) but did not affect the time to resumption of spatial orientation. Postoperative nausea and vomiting rates did not differ between groups, and no hallucinations or excessive sedation was observed.

CONCLUSION

Intraoperative low-dose esketamine did not significantly reduce acute pain after VS resection with propofol/remifentanil TIVA. However, BIS values increased for at least 30 min after esketamine administration.

Talking About Prescription Opioid Misuse: The Effect of Family Communication Patterns and Messages Advocating Direct and Indirect Communication

Families play an important role in addressing substance misuse and addiction. Extant literature suggests patterns of communication within families influence the ways in which they engage loved ones who may be misusing substances like prescription opioids. However, little is known regarding how strategic health messages about family communication influence individuals' intentions to engage in conversations about substance misuse. Applying a normative approach, we conducted a (2 × 2) between-participants experiment examining whether messages advocating indirect (versus direct) communication are more effective for individuals (n = 613) who describe their family as having a low (versus high) conversation orientation. Univariate analysis of variance tests show match effects for message attitudes and message elaboration. For intentions to talk with a loved one about the risks of OUD, there was only evidence of a matching effect between the message advocating indirect communication with low conversation audiences. Both message types were equally effective at influencing intentions for high conversation participants. These findings suggest message designers should consider the kinds of communication behaviors and actions advocated in appeals targeting family members. Messages that are inclusive of the conversation dynamics of particular audiences may have greater effect. In particular, for low conversation audiences, messages advocating an indirect approach may be more effective at motivating intentions to engage someone who is misusing opioids.

Effect of esketamine combined with pregabalin on acute postsurgical pain in patients who underwent resection of spinal neoplasms: a randomized controlled trial

ABSTRACT

Moderate-to-severe acute postsurgical pain (APSP) can prolong the recovery and worsen the prognosis of patients who undergo spinal surgery. Esketamine and pregabalin may resolve APSP without causing hyperpathia or respiratory depression after surgery. However, there are other risks, such as dissociative symptoms. We designed a randomized controlled trial to investigate the effect of the combination of these 2 drugs on the incidence of APSP in patients who underwent resection of spinal neoplasms. Patients aged 18 to 65 years were randomized to receive esketamine (a bolus dose of 0.5 mg·kg-1 and an infusion dose of 0.12 mg·kg-1·h-1 for 48 hours after surgery) combined with oral pregabalin (75-150 mg/day, starting 2 hours before surgery and ending at 2 weeks after surgery) or an identical volume of normal saline and placebo capsules. The primary outcome was the proportion of patients with moderate-to-severe APSP (visual analog scale score ≥ 40) during the first 48 hours after surgery. Secondary outcomes included the incidence of drug-related adverse events. A total of 90 patients were randomized. The incidence of moderate-to-severe APSP in the combined group (27.3%) was lower than that in the control group (60.5%) during the first 48 hours after surgery (odds ratio = 0.25, 95% CI = 0.10-0.61; P = 0.002). The occurrence of mild dissociative symptoms was higher in the combined group than in the control group (18.2% vs 0%). In conclusion, esketamine combined with pregabalin could effectively alleviate APSP after spinal surgery, but an analgesic strategy might increase the risk of mild dissociative symptoms.

Attitudes toward Social Issues Related to Opioid Use among Palliative Care Physicians

Purpose

This study investigated palliative care physicians' attitudes regarding social issues related to opioid use.

Methods

An email survey was sent to 674 physicians who were members of the Korean Society for Hospice and Palliative Care (KSHPC).

Results

Data from 66 physicians were analyzed (response rate, 9.8%). About 70% of participants stated that their prescribing patterns were not influenced by social issues related to opioid use, and 90% of participants thought that additional regulations should be limited to non-cancer pain. Under the current circumstances, pain education for physicians is urgently needed, as well as increased awareness among the public. Half of the respondents identified the KSHPC as the primary organization responsible for providing pain education.

Conclusion

Palliative care physicians' prescribing patterns were not influenced by social issues related to opioid use, and these issues also should not affect cancer pain control.

Cancer pain assessment and management: does an institutional approach individualise and reduce cost of care?

OBJECTIVES

To understand individual prescribing and associated costs in patients managed with the Edinburgh Pain Assessment and management Tool (EPAT).

METHODS

The EPAT study was a two-arm parallel group cluster randomised (1:1) trial, including 19 UK cancer centres. Study outcome assessments, including pain levels, analgesia and non-pharmacological and anaesthetic interventions, collected at baseline, 3-5 days and, if applicable, 7-10 days after admission. Costs calculated for inpatient length of stay (LoS), medications and complex pain interventions. Analysis accounted for the clustered nature of the trial design. In this post-hoc analysis, healthcare utilisation and costs are presented descriptively.

PARTICIPANTS

10 centres randomised to EPAT (487 patients) and 9 (449 patients) to usual care (UC).

MAIN OUTCOME MEASURES

Pharmacological and non-pharmacological management, complex pain interventions, length of hospital stay and costs related to these outcomes.

RESULTS

The mean per patient hospital cost was £3866 with EPAT and £4194 with UC, reflecting a mean LoS of 2.9 days and 3.1 days, respectively. Costs were lower for non-opioids, Non-steroidal anti-inflammatories (NSAIDs) and opioids but slightly higher for adjuvants with EPAT than with UC. The mean per-patient opioid costs were £17.90 (EPAT) and £25.80 (UC). Mean per patient costs of all medication were £36 (EPAT) and £40 (UC).Complex pain intervention costs were £117 with EPAT per patient and £90 with UC. Overall mean cost per patient was £4018.3 (95% CI 3698.9 to 4337.8) with EPAT and £4323.8 (95% CI 4060.0 to 4587.7) with UC.

CONCLUSIONS

EPAT facilitated personalised medicine and may result in less opioids, more specific treatments, improved pain outcomes and cost savings.

Multinational appraisal of the epidemiological distribution of opioid fatalities: a systematic review and meta-analysis

Background

The global or multinational scientific evidence on the distribution of opioid fatality is unknown. Hence, the current study collects epidemiological characteristics to shed light on the ongoing global or multinational opioid crisis and to promote the development of public health prevention/management strategies.

Method

All documents on PRISMA standards were retrieved via electronic databases.

Results

Among the 47 articles relevant to our studies, which depict a total population size of 10,191 individuals, the prevalence of opioid fatal overdose was 15,022 (14.74%). Among the 47 articles, 14 of them reported the gender of the participants, with 22,125 (15.79%) male individuals and 7,235 (5.17%) female individuals, and the age distribution of the participants that was most affected by the overdose was as follows: 29,272 (31.13%) belonged to the 18-34-year-old age group and 25,316 (26.92%) belonged to the less than 18-year-old age group. Eighteen studies qualified for the meta-analysis of the multinational prevalence of fatal opioid overdose, depicting an overall pooled prevalence estimate of 19.66%, with 95% CIs (0.13-0.29), I2 = 99.76% determined using the random-effects model, and Q statistic of 7198.77 (p < 0.0001). The Egger test models of publication bias revealed an insubstantial level of bias (p = 0.015). The subgroup analysis of the study design (cohort or other) revealed that others have the highest prevalence estimate of 34.37, 95% CIs (0.1600-0.5901), I2 = 97.04%, and a sample size of less than 1,000 shows the highest prevalence of 34.66, 95% CIs (0.2039-0.5234), I2 = 97.82%, compared to that of more than 1,000 with a prevalence of 12.28, 95% CIs (0.0675-0.2131), I2 = 99.85%. The meta-regression analysis revealed that sample size (less-than or greater-than 1,000), (p = 0.0098; R2 = 3.83%) is significantly associated with the observed heterogeneity.

Conclusion

Research-based findings of fatal opioid overdose are grossly lacking in middle- and low-income nations. We established that there is a need for opioid fatality surveillance systems in developing nations.

Interspecialty Opioid Prescribing Patterns in Ophthalmology Following Declaration of a Public Health Emergency

Purpose: Previous literature has investigated opioid prescription trends in ophthalmology at large, however, little has been done looking at differences between subspecialties. We evaluate if significant trends exist among subspecialties in opioid prescribing patterns. This study aims to illuminate potential over-usage of opioids in ophthalmology that could compromise patient quality of life. Methods: Medicare data and "National Plan and Provider Enumeration System (NPPES) Downloadable File" were queried for cases of ophthalmologists with nonsuppressed opioid prescription data from 2014 to 2019. Ophthalmologists with no subspecialty code or missing regional, gender, degree, or graduation information were excluded. Chi-squared analysis, analysis of variance, t-tests, and multivariate logistic regression were utilized. Results: Five thousand one hundred forty-three physician records were included in analysis, 450 of which were by cornea subspecialists. Most cornea cases were male, graduated before 2005, and practiced in the South. All subspecialties had a significantly increased likelihood of making opioid claims and higher prescription rates compared with cornea (P < 0.050) besides glaucoma (P = 0.357). Only oculoplastics had significantly increased likelihood of greater total supply of opioids compared with cornea (odds ratio [OR] = 22.195, 95% confidence interval [CI] = 12.209-40.350, P < 0.001), while pediatrics (OR = 4.036, 95% CI = 1.377-11.831, P = 0.011) and neuro-ophthalmology (OR = 4.158, 95% CI = 1.237-13.975, P = 0.021) in addition to oculoplastics (OR = 64.380, 95% CI = 26.306-157.560, P < 0.001) were predicted to have significantly greater opioid beneficiaries. Males, the South/Midwest, and graduating before 2005, all were generally associated with increased likelihood of greater total opioid claims, supply, beneficiaries, and prescription rate (P < 0.050). Conclusion: Subspecialty, demographic, chronological, and regional trends exist for opioid prescribing patterns in ophthalmology.

Machine Learning Algorithms Predict Long-Term Postoperative Opioid Misuse: A Systematic Review

INTRODUCTION

A steadily rising opioid pandemic has left the US suffering significant social, economic, and health crises. Machine learning (ML) domains have been utilized to predict prolonged postoperative opioid (PPO) use. This systematic review aims to compile all up-to-date studies addressing such algorithms' use in clinical practice.

METHODS

We searched PubMed/MEDLINE, EMBASE, CINAHL, and Web of Science using the keywords "machine learning," "opioid," and "prediction." The results were limited to human studies with full-text availability in English. We included all peer-reviewed journal articles that addressed an ML model to predict PPO use by adult patients.

RESULTS

Fifteen studies were included with a sample size ranging from 381 to 112898, primarily orthopedic-surgery-related. Most authors define a prolonged misuse of opioids if it extends beyond 90 days postoperatively. Input variables ranged from 9 to 23 and were primarily preoperative. Most studies developed and tested at least two algorithms and then enhanced the best-performing model for use retrospectively on electronic medical records. The best-performing models were decision-tree-based boosting algorithms in 5 studies with AUC ranging from .81 to .66 and Brier scores ranging from .073 to .13, followed second by logistic regression classifiers in 5 studies. The topmost contributing variable was preoperative opioid use, followed by depression and antidepressant use, age, and use of instrumentation.

CONCLUSIONS

ML algorithms have demonstrated promising potential as a decision-supportive tool in predicting prolonged opioid use in post-surgical patients. Further validation studies would allow for their confident incorporation into daily clinical practice.

Analysis of Pain Management after Anatomic VATS Resection in Austrian Thoracic Surgery Units

BACKGROUND

Postoperative pain influences rehabilitation, postoperative complications and quality of life. Despite its impact, there are no uniform treatment guidelines. Different centers seem to use various strategies. This study aims to analyze pain management regimens used after anatomic VATS resections in Austrian thoracic surgery units, with a special interest in opioid usage and strategies to avoid opioids.

METHODS

A questionnaire was designed to assess the use of regional anesthesia, postoperative pain medication and characteristics of individual pain management regimens. The questionnaire was sent to all thoracic surgery units in Austria, with nine out of twelve departments returning them.

RESULTS

All departments use regional anesthesia during the procedure. Four out of nine centers use epidural analgesia or an intercostal catheter for postoperative regional anesthesia in at least 50% of patients. Two departments follow an opioid restrictive regimen, five depend on the visual analogue scale (VAS) and two administer opioids on a fixed schedule. Three out of nine departments use NSAIDs on a fixed schedule. The most used medication is metamizole (eight out of nine centers; six on a fixed schedule, two depending on VAS) followed by piritramide (six out of nine centers; none as a fixed prescription).

CONCLUSIONS

This study reflects the heterogeneity in postoperative pain treatment after VATS anatomic lung resections. All departments use some form of regional anesthesia in the perioperative period; prolonged regional anesthesia is not utilized uniformly to reduce opioid consumption, as suggested in enhanced recovery after surgery programs. More evidence is needed to optimize and standardize postoperative pain treatment.

Exploring Perceptions About Paracetamol, Tramadol, and Codeine on Twitter Using Machine Learning: Quantitative and Qualitative Observational Study

BACKGROUND

Paracetamol, codeine, and tramadol are commonly used to manage mild pain, and their availability without prescription or medical consultation raises concerns about potential opioid addiction.

OBJECTIVE

This study aims to explore the perceptions and experiences of Twitter users concerning these drugs.

METHODS

We analyzed the tweets in English or Spanish mentioning paracetamol, tramadol, or codeine posted between January 2019 and December 2020. Out of 152,056 tweets collected, 49,462 were excluded. The content was categorized using a codebook, distinguishing user types (patients, health care professionals, and institutions), and classifying medical content based on efficacy and adverse effects. Scientific accuracy and nonmedical content themes (commercial, economic, solidarity, and trivialization) were also assessed. A total of 1000 tweets for each drug were manually classified to train, test, and validate machine learning classifiers.

RESULTS

Of classifiable tweets, 42,840 mentioned paracetamol and 42,131 mentioned weak opioids (tramadol or codeine). Patients accounted for 73.10% (60,771/83,129) of the tweets, while health care professionals and institutions received the highest like-tweet and tweet-retweet ratios. Medical content distribution significantly differed for each drug (P<.001). Nonmedical content dominated opioid tweets (23,871/32,307, 73.9%), while paracetamol tweets had a higher prevalence of medical content (33,943/50,822, 66.8%). Among medical content tweets, 80.8% (41,080/50,822) mentioned drug efficacy, with only 6.9% (3501/50,822) describing good or sufficient efficacy. Nonmedical content distribution also varied significantly among the different drugs (P<.001).

CONCLUSIONS

Patients seeking relief from pain are highly interested in the effectiveness of drugs rather than potential side effects. Alarming trends include a significant number of tweets trivializing drug use and recreational purposes, along with a lack of awareness regarding side effects. Monitoring conversations related to analgesics on social media is essential due to common illegal web-based sales and purchases without prescriptions.

ENDOGENOUS ENDOPHTHALMITIS ASSOCIATED WITH INJECTION DRUG USE COMPARED WITH OTHER ETIOLOGIES

PURPOSE

To compare features of endogenous endophthalmitis associated with injection drug use (IDU) to endogenous endophthalmitis from other etiologies.

METHODS

The authors retrospectively collected data on patients with endogenous endophthalmitis due to IDU or other causes from three academic tertiary care centers over a six-year period. Differences in presenting characteristics, culture results, treatment, and visual acuity were compared between groups.

RESULTS

Thirty-eight patients (34%) had IDU-associated endogenous endophthalmitis while 75 patients (67%) had endogenous endophthalmitis from other causes. Compared with patients in the non-IDU group, IDU patients were significantly younger, more frequently male, had longer duration of symptoms at diagnosis, and were less likely to have bilateral disease ( P < 0.05 for all). Injection drug use patients were less likely to have a systemic infection source identified (29% vs. 71%, P < 0.001) or have positive cultures (47% vs. 80%, P < 0.001). The IDU group was less likely to be admitted to the hospital (71% vs. 92%, P = 0.005) and less likely to receive treatment with intravenous antimicrobials (55% vs. 83%, P = 0.003). Visual acuity did not significantly differ between groups.

CONCLUSION

Endophthalmitis related to IDU presents in younger patients with less comorbidities and frequently without positive cultures or an identifiable systemic source; therefore, a high index of suspicion is needed to identify this disease.

Massachusetts Prevalence of Opioid Use Disorder Estimation Revisited: Comparing a Bayesian Approach to Standard Capture-Recapture Methods

BACKGROUND

The National Survey on Drug Use and Health (NSDUH) estimated the prevalence of opioid use disorder (OUD) among the civilian, noninstitutionalized people aged 12 years or older in Massachusetts as 1.2% between 2015 and 2017. Accurate estimation of the prevalence of OUD is critical to the success of treatment and resource planning. Various indirect estimation approaches have been used but are subject to data availability and infrastructure-related issues.

METHODS

We used 2015 data from the Massachusetts Public Health Data Warehouse (PHD) to compare the results of two approaches to estimating OUD prevalence in the Massachusetts population. First, we used a seven-dataset capture-recapture analysis under log-linear model parameterization, controlling for the source dependence and effects of age, sex, and county through stratification. Second, we applied a benchmark-multiplier method in a Bayesian framework by linking health care claims data to death certificate data assuming an extrapolation of death rates from observed untreated OUD to unobserved OUD.

RESULTS

Our estimates for OUD prevalence among Massachusetts residents (aged 18-64 years) were 4.62% (95% CI = 4.59%, 4.64%) in the capture-recapture approach and 4.29% (95% CrI = 3.49%, 5.32%) in the Bayesian model. Both estimates were approximately four times higher than NSDUH estimates.

CONCLUSION

The synthesis of our findings suggests that the disease surveillance system misses a large portion of the population with OUD. Our study also suggests that concurrent use of multiple methods improves the justification and facilitates the triangulation and interpretation of the resulting estimates.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT04111939.

Self-Adjuvanting TLR7/8 Agonist and Fentanyl Hapten Co-Conjugate Achieves Enhanced Protection against Fentanyl Challenge

Currently approved pharmacotherapies for opioid use disorders (OUDs) and overdose reversal agents are insufficient to slow the spread of OUDs due to the proliferation of fentanyl. This is evident in the 31% rise in drug overdose deaths from 2019 to 2022, with rates increasing from 21.6 to 28.3 overdoses per 100,000 deaths. Vaccines are a potential alternative or adjunct therapy for the treatment of several substance use disorders (nicotine, cocaine) but have shown limited clinical success due to suboptimal antibody titers. In this study, we demonstrate that coconjugation of a Toll-like receptor 7/8 (TLR7/8) agonist (UM-3006) alongside a fentanyl-based hapten (F1) on the surface of the carrier protein cross-reactive material 197 (CRM) significantly increased generation of high-affinity fentanyl-specific antibodies. This demonstrated enhanced protection against fentanyl challenges relative to an unconjugated (admix) adjuvant control in mice. Inclusion of aluminum hydroxide (alum) adjuvant further increased titers and enhanced protection, as determined by analysis of fentanyl concentration in serum and brain tissue. Collectively, our findings present a promising approach to enhance the efficacy of antiopioid vaccines, underscoring the need for extensive exploration of TLR7/8 agonist conjugates as a compelling strategy to combat opioid use disorders.

Understanding the spatiotemporal evolution of opioid overdose events using a regionalized sequence alignment analysis

BACKGROUND

Opioid overdose events and deaths have become a serious public health crisis in the United States, and understanding the spatiotemporal evolution of the disease occurrences is crucial for developing effective prevention strategies, informing health systems policy and planning, and guiding local responses. However, current research lacks the capability to observe the dynamics of the opioid crisis at a fine spatial-temporal resolution over a long period, leading to ineffective policies and interventions at the local level.

METHODS

This paper proposes a novel regionalized sequential alignment analysis using opioid overdose events data to assess the spatiotemporal similarity of opioid overdose evolutionary trajectories within regions that share similar socioeconomic status. The model synthesizes the shape and correlation of space-time trajectories to assist space-time pattern mining in different neighborhoods, identifying trajectories that exhibit similar spatiotemporal characteristics for further analysis.

RESULTS

By adopting this methodology, we can better understand the spatiotemporal evolution of opioid overdose events and identify regions with similar patterns of evolution. This enables policymakers and health researchers to develop effective interventions and policies to address the opioid crisis at the local level.

CONCLUSIONS

The proposed methodology provides a new framework for understanding the spatiotemporal evolution of opioid overdose events, enabling policymakers and health researchers to develop effective interventions and policies to address this growing public health crisis.

Role of oestrous cycle and orbitofrontal cortex in oxycodone seeking after 15-day abstinence in female rats

Relapse to oxycodone seeking progressively increases after abstinence in rats, a phenomenon termed incubation of oxycodone craving. We have previously shown that the orbitofrontal cortex (OFC) plays a critical role in incubation of oxycodone craving in male rats. Here, we examined the effect of oestrous cycle on incubated oxycodone seeking in female rats, and whether the critical role of OFC in incubated oxycodone seeking generalizes to female rats. We first assessed oxycodone self-administration and incubated oxycodone seeking on abstinence day 15 across the oestrous cycle. Next, we determined the effect of chemogenetic inactivation of OFC by JHU37160 (J60), a novel agonist for Designer Receptors Exclusively Activated by Designer Drugs (DREADDs), on incubated oxycodone seeking on abstinence day 15. Finally, we determined the effect of J60 alone on incubated oxycodone seeking on abstinence day 15. We found no difference in oxycodone intake across oestrus, pro-oestrus, and metoestrus stages during oxycodone self-administration training. Incubated oxycodone seeking was also similar between nonoestrus and oestrus female rats. Moreover, chemogenetic inactivation of OFC by J60 decreased incubated oxycodone seeking on abstinence day 15, while J60 alone had no effect on incubated oxycodone seeking in no-DREADD control rats. Taken together, results here show that the oestrous cycle has no effect on oxycodone intake and incubated oxycodone seeking in female rats under our experimental conditions. Furthermore, consistent with our previous findings in male rats, results here show that OFC also plays a critical role in incubated oxycodone seeking in female rats.

A Dynamic Spatial Factor Model to Describe the Opioid Syndemic in Ohio

BACKGROUND

The opioid epidemic has been ongoing for over 20 years in the United States. As opioid misuse has shifted increasingly toward injection of illicitly produced opioids, it has been associated with HIV and hepatitis C transmission. These epidemics interact to form the opioid syndemic.

METHODS

We obtain annual county-level counts of opioid overdose deaths, treatment admissions for opioid misuse, and newly diagnosed cases of acute and chronic hepatitis C and newly diagnosed HIV from 2014 to 2019. Aligned with the conceptual framework of syndemics, we develop a dynamic spatial factor model to describe the opioid syndemic for counties in Ohio and estimate the complex synergies between each of the epidemics.

RESULTS

We estimate three latent factors characterizing variation of the syndemic across space and time. The first factor reflects overall burden and is greatest in southern Ohio. The second factor describes harms and is greatest in urban counties. The third factor highlights counties with higher than expected hepatitis C rates and lower than expected HIV rates, which suggests elevated localized risk for future HIV outbreaks.

CONCLUSIONS

Through the estimation of dynamic spatial factors, we are able to estimate the complex dependencies and characterize the synergy across outcomes that underlie the syndemic. The latent factors summarize shared variation across multiple spatial time series and provide new insights into the relationships between the epidemics within the syndemic. Our framework provides a coherent approach for synthesizing complex interactions and estimating underlying sources of variation that can be applied to other syndemics.

Early Identification of Atypical Motor Performance of Infants With Prenatal Opioid Exposure

PURPOSE

To investigate the association between prenatal opioid exposure (POE) and newborn infants' motor performance to aid in the early identification of developmental delays.

METHODS

Nineteen infants with POE requiring pharmacological treatment, 27 infants with POE without pharmacological treatment, and 25 infants without POE were assessed via the Test of Infant Motor Performance (TIMP).

RESULTS

Infants in both groups with POE had lower TIMP scores than infants without POE. There was no difference between the TIMP scores of infants with POE who required pharmacological treatment and infants with POE who did not require pharmacological treatment.

CONCLUSIONS

The TIMP can detect differences in motor performance of infants with POE. Regardless of whether infants required pharmacological treatment, POE was associated with lower motor performance. Those working in hospital or early intervention settings can use the TIMP to identify early delays in infants with POE and refer for intervention.

Opioid prescription trends among American Head and Neck Society fellowship graduates

BACKGROUND

Opioids are commonly used to manage the pain of head and neck (HN) cancer patients.

METHODS

Retrospective cohort of graduates from American Head and Neck Society accredited fellowships from 1997 to 2018. The Center for Medicare and Medicaid Services Part D Provider Utilization and Payment database 2014-2019 was cross-referenced with provider names to identify opioid prescription trends.

RESULTS

From 2014 to 2019, there was no significant difference in the average number of opioid beneficiaries per provider (18.02 vs. 18.10, p = 0.586) or opioid claims per provider (28.06 vs. 26.73, p = 0.708). The average total opioid day supply per beneficiary declined from 11.09 to 7.05 days from 2014 to 2019 (p < 0.001). In 2019, providers in the Northeast had the lowest prescribed opioid day supply (3.67 days) compared to those from the South who had the highest (10.32 days).

CONCLUSIONS

Opioid prescription length has significantly declined among HN surgeons, with variations across geographic regions.

Building a Quality Practice in Chronic Pancreatitis

Chronic pancreatitis (CP) is a fibroinflammatory disorder that results in irreversible scarring to pancreatic parenchyma and presents with a myriad of symptoms including abdominal pain, nausea, weight loss, steatorrhea, and diabetes. Furthermore, patients with CP often have comorbid chemical dependencies to alcohol and tobacco, which can further complicate the management of CP. Recent literature proposes guidelines on how best to care for patients with CP and establishes requirements for centers of excellence. Here, we review the available data on endoscopic therapies, pain management, chemical dependency, and nutrition for patients with CP and propose quality metrics that may be used to establish a quality practice.

Suvorexant, an FDA-approved dual orexin receptor antagonist, reduces oxycodone self-administration and conditioned reinstatement in male and female rats

Background: The Department of Health and Human Services reports that prescription pain reliever (e.g., oxycodone) misuse was initiated by 4,400 Americans each day in 2019. Amid the opioid crisis, effective strategies to prevent and treat prescription opioid use disorder (OUD) are pressing. In preclinical models, the orexin system is recruited by drugs of abuse, and blockade of orexin receptors (OX receptors) prevents drug-seeking behavior. The present study sought to determine whether repurposing suvorexant (SUV), a dual OX receptor antagonist marketed for the treatment of insomnia, can treat two features of prescription OUD: exaggerated consumption and relapse. Methods: Male and female Wistar rats were trained to self-administer oxycodone (0.15 mg/kg, i. v., 8 h/day) in the presence of a contextual/discriminative stimulus (S^D) and the ability of SUV (0-20 mg/kg, p. o.) to decrease oxycodone self-administration was tested. After self-administration testing, the rats underwent extinction training, after which we tested the ability of SUV (0 and 20 mg/kg, p. o.) to prevent reinstatement of oxycodone seeking elicited by the S^D. Results: The rats acquired oxycodone self-administration and intake was correlated with the signs of physical opioid withdrawal. Additionally, females self-administered approximately twice as much oxycodone as males. Although SUV had no overall effect on oxycodone self-administration, scrutiny of the 8-h time-course revealed that 20 mg/kg SUV decreased oxycodone self-administration during the first hour in males and females. The oxycodone S^D elicited strong reinstatement of oxycodone-seeking behavior that was significantly more robust in females. Suvorexant blocked oxycodone seeking in males and reduced it in females. Conclusions: These results support the targeting of OX receptors for the treatment for prescription OUD and repurposing SUV as pharmacotherapy for OUD.

Evaluating Outcomes and Misuse in Opioid-Dependent Chronic Pancreatitis Using a State-Mandated Monitoring System

INTRODUCTION

Patients with chronic pancreatitis (CP) often require opioids for pain control. The goal of our study was to characterize opioid use in patients with CP in a real-life practice using a state-mandated online monitoring program and to assess outcomes compared to CP patients without opioid dependency.

METHODS

CP patients seen in our Pancreas Center from 2016 to 2021 were divided into two groups-with and without chronic opioid use. Details of opioids and other controlled prescriptions were obtained by review of the Massachusetts Prescription Awareness Tool (MassPat).

RESULTS

Of the 442 CP outpatients, 216 used chronic opioids. Patients with opioid use had significantly more recurrent acute pancreatitis (76.6% vs. 52.7%), concurrent alcohol use (11.2% vs. 5.8%), tobacco use (37.8% vs. 19.7%), anxiety (22.4% vs. 16.6%), depression (43.5% vs. 23.5%) and daily pain (59.8% vs. 24.8%) (p < 0.001). They also concurrently used more benzodiazepines (43.7% vs. 12.4%), gabapentinoids (66.4% vs. 31.1%) and medical marijuana (14.9% vs. 4.19%) (p < 0.001). They had more celiac plexus blocks (22.0% vs. 6.67%), surgery (18.3% vs. 8.89%) and more hospitalizations for CP flares (3.6 vs. 1.0 visits) (p < 0.001). Less than 13% patients received opioids by means of ED visits; 81.7% patients received their prescriptions from one facility and 75% received them at regular intervals.

CONCLUSION

Opioid-dependent CP patients exhibit polypharmacy and have worse outcomes with higher resource utilization. The state-monitoring program ensures that the majority of patients receive opioids from a single facility, thereby minimizing misuse.

Residential addiction treatment providers: Identifying the role of social context in worker health and turnover

Increased lethality and availability of addictive substances has strained US addiction treatment services, further exacerbating workforce shortages in these settings. The emotional and physical health toll of providing treatment may contribute to shortages. This community-initiated qualitative study aimed to identify conditions that affect provider health and turnover in residential addiction treatment from a Total Worker Health® perspective. Providers (direct service, supervisors, leaders) working in nonprofit residential treatment facilities in Massachusetts were recruited by role and geography to participate in interviews and focus groups. NVivo12 facilitated coding and analysis. 25% of transcripts were double coded to assess interrater reliability and coding consistency (mean Kappa = 0.82). Providers (N = 49) participated in 33 interviews and 4 focus groups. Many participants reported personal addiction histories. Analysis revealed how socio-contextual factors originating outside of residential facilities were dominant influences on "downstream" working conditions, worker health, staff turnover, and by extension, client care. Four primary socio-contextual themes surfaced:1) Changes in type and potency of substances and client need not reliably accompanied by shifts in treatment practices; 2) challenges balancing state requirements and state-provided resources; 3) influence of structural discrimination and addiction stigma on pay and professional advancement; and 4) geographic location of facilities shape work and quality of life. Results were used to develop a conceptual model for residential addiction treatment to illustrate pathways by which ecological factors interact to affect provider health and turnover. Findings indicate that protecting health and wellbeing of providers-many of whom are in addiction recovery themselves- is integral to improving addiction treatment. From this workforce's perspective, recent changes in socio-contextual factors have intensified already challenging working conditions (job demands, pay, advancement), negatively impacting worker health, turnover, and client care. Any interventions to improve treatment outcomes or working conditions in nonprofit addiction facilities must consider larger socio-contextual factors influencing these organizations.

The variation of opioid prescription after injury and its association with long-term chronic pain: A multicenter cohort study

BACKGROUND

Opioid overprescription in trauma contributes to the opioid epidemic through diversion of unused pills. Through our study, we sought to do the following: (1) understand the variation in opioid prescription after injury and its relationship to patient and/or clinical variables, and (2) study the relationship between opioid prescribing and long-term pain and analgesic use.

METHOD

Trauma patients with an injury severity score ≥9 admitted to 3 level 1 trauma centers were screened for chronic pain and analgesic use 6 to 12 months postinjury. First, multivariable linear regression models were constructed with "oral morphine equivalents" and "number of opioid pills prescribed" at discharge as dependent variables. The coefficients of determination were calculated to determine how much of the variation in opioid prescription was explained by patient and clinical variables. Second, a multivariable logistic regression analysis was created to study the association between opioid prescription at discharge and chronic pain/analgesic use at 6 to 12 months. Analyses were adjusted for patient demographics, socioeconomics, comorbidities, injury parameters, and hospital course.

RESULTS

Of the 2,702 patients included (mean [standard deviation] age: 61.0 [21.5]; 55% males), 74% were prescribed opioids at discharge (mean number of pills [standard deviation]: 24.0 [26.5]; mean oral morphine equivalent [standard deviation]: 204.8 [348.1]). The adjusted coefficients of determination for oral morphine equivalents and number of pills was 0.12 and 0.21, respectively, suggesting that the measured patient and clinical factors explain <21% of the variation in opioid prescribing in trauma. Patients prescribed opioids were more likely to have chronic pain (odds ratio [95%] confidence interval: 1.34 [1.05-1.71]) and use analgesics daily (odds ratio [95%] confidence interval: 1.86 [1.25-2.77]) 6 to 12 months postinjury.

CONCLUSION

The variation in opioid prescription after traumatic injury is more affected by system and provider level rather than clinical or patient-related factors, and opioid prescribing correlates independently with long-term chronic pain and continued analgesic use postinjury. Efforts to decrease opioid use should prioritize standardizing prescription practices after traumatic injury.

Vaccine confidence among people who use drugs: A cross-sectional survey

Adult immunization coverage remains low in the US, particularly for people who use drugs (PWUD), a population that experiences a disproportionate burden of vaccine-preventable diseases. The extent of and characteristics associated with vaccine confidence (VC) held by PWUD is poorly understood. As VC strongly correlates with vaccine uptake, this cross-sectional study identifies mutable factors associated with VC and quantifies its relationship to immunization status within a highly vulnerable, underimmunized population of PWUD. Using a community-engaged research strategy with select partner organizations hosting syringe exchange programs in Atlanta, Los Angeles, and Las Vegas, USA, we surveyed participants ages 18-69 years served by these organizations from 2019 to 2020. Survey measures included sociodemographics, health behavior including immunization receipt, and vaccine confidence in adult vaccinations using a modified Emory Vaccine Confidence Index (EVCI). The findings reflect relatively low VC among the 1,127 recruited participants, with 56% expressing low VC (EVCI 0-12), 35% medium (EVCI 13-20) and 10% high (EVCI 21-24). EVCI varied by city, with lowest confidence in Atlanta and highest in Las Vegas. VC was associated with past receipt of specific vaccines, including hepatitis A, MMR, Tdap, and influenza. VC varied by specific sociodemographic correlates such as housing insecurity (reduced confidence) and receipt of public benefits or disability (increased confidence). This study identified correlates associated with VC based on site and sociodemographic characteristics for this priority population, highlighting the need for specific interventions to raise VC among PWUD, especially among those experiencing housing insecurity and without public benefits.

Analysis, identification and confirmation of synthetic opioids using chloroformate chemistry: Retrospective detection of fentanyl and acetylfentanyl in urine and plasma samples by EI-GC-MS and HR-LC-MS

Electron Impact Gas Chromatography-Mass Spectrometry (EI-GC-MS) and High Resolution Liquid Chromatography-Mass Spectrometry (HR-LC-MS) have been used in the analysis of products arising from the trichloroethoxycarbonylation of fentanyl and acetylfentanyl in urine and plasma matrices. The method involves the initial extraction of both synthetic opioids separately from the matrices followed by detection of the unique products that arise from their reaction with 2,2,2-trichloroethoxycarbonyl chloride (Troc-Cl), namely Troc-norfentanyl and Troc-noracetylfentanyl. The optimized protocol was successfully evaluated for its efficacy at detecting these species formed from fentanyl and acetylfentanyl when present at low and high levels in urine (fentanyl: 5 and 10 ng/mL and acetylfentanyl: 20 and 100 ng/mL) and plasma (fentanyl: 10 and 20 ng/mL and acetylfentanyl: 50 and 200 ng/mL), values that reflect levels reported in overdose victims. The HR-LC-MS method's LOQ (limit of quantitation) for the Troc-norfentanyl and Troc-noracetylfentanyl products was determined to be ~10 ng/mL for both species. Even though the superiority in the detection of these species by HR-LC-MS over EI-GC-MS, the latter method proved to be important in the detection of the second product from the reaction, namely 2-phenylethyl chloride that is crucial in the determination of the original opioid. This observation highlights the importance of using complimentary analytical techniques in the analysis of a sample, whether biological or environmental in nature. The method herein serves as a complementary, qualitative confirmation for the presence of a fentanyl in collected urine, plasma and by extension other biological samples amenable to the common extraction procedures described for opioid analysis. More importantly, the method's main strength comes from its ability to react with unknown fentanyls to yield products that can be not only detected by EI-GC-MS and HR-LC-MS but can then be used to retrospectively identify an unknown fentanyl.

Effects of Early Life Trauma on Risks for Adult Opioid Use Disorder Are Mediated by Stress and Occur Independent of Depression and Anxiety

OBJECTIVES

Adverse childhood experiences, or early life trauma (ELT), may be a potential risk factor for opioid use disorders (OUDs) that could be further influenced by depression, anxiety, and stress. The prevalence and strength of these associations are largely unknown.

METHODS

This study examined the association between current OUD severity and lifetime history of ELT, and the degree to which current depression, anxiety, and stress influenced this association, in persons (n = 310) with at least 1 lifetime exposure to opioids using an online survey.

RESULTS

Ninety-three percent of respondents experienced at least 1 trauma in their lifetime, and 65% met the criteria for OUD. Early life trauma was largely unassociated with demographics but demonstrated an almost "dose-dependent" association among all forms of ELT (total, general, physical, emotional, sexual), whereby more ELT was associated with more severe current OUD. A multivariate mediation model found perceived stress to be a robust mediator of this association. Current psychiatric functioning did not significantly moderate the relationship between ELT and OUD, suggesting that ELT may impact OUD severity at varying levels of psychiatric functioning.

CONCLUSIONS

These data support existing evidence that greater ELT may influence adult OUD severity and identify perceived stress as a potential mechanistic contributor to this association. Results are preliminary in nature but support continued research into mechanisms underlying the association between ELT and OUD, particularly conformational changes in the stress system resultant from ELT, and interventions to mitigate the impact of ELT on OUD development and/or develop trauma-informed OUD treatment approaches.

Actual situation and prescribing patterns of opioids by pain physicians in South Korea

Background

Use of opioids for chronic intractable pain is increasing globally, and their proper use can improve patients’ quality of life. In contrast, opioid use disorders, such as abuse or addiction, caused by prescribing opioids, are a worldwide issue. This study aimed to understand current opioid prescribing patterns and pain physicians’ experiences with opioid use in South Korea.

Methods

Pain physicians in 42 university hospitals in South Korea were asked to complete anonymous questionnaires regarding opioid prescriptions.

Results

A total of 69 surveys were completed. Most pain physicians started prescribing opioids at a pain score of 7/10 and aimed to reduce pain by 50%. Most physicians (73.1%) actively explained the prescribed medications and possible side effects, and 61.2% of physicians preferred the prescription interval of 4 weeks. Immediate-release opioids were the most popular treatment for breakthrough pain (92.6%). The most common side effect encountered by physicians was constipation (43.3%), followed by nausea/vomiting (34.3%). Of the physicians, 56.5% replied that addiction and misuse prevalences were less than 5%. However, the most concerning side effect was addiction (33.0%).

Conclusions

The survey results showed that the prescribing patterns of pain physicians generally followed Korean guidelines. Physicians were most interested in the safety and effectiveness of opioid prescriptions. They were most concerned about respiratory depression and abuse or addiction. A significant number of physicians agreed that the NHIS regulations needed improvement for patient convenience and safe and effective treatment, though there were pros and cons of the NHIS restrictions on prescription conditions.

Mobile Health Interventions and RCTs: Structured Taxonomy and Research Framework

Mobile Health Interventions (MHIs) have addressed a range of healthcare challenges and have been evaluated using Randomized Controlled Trials (RCTs) to establish clinical effectiveness. Using PRISMA we conducted a systematic literature review of RCTs for MHIs and identified 70 studies which were analyzed and classified using Nickerson-Varshney-Muntermann (NVM) taxonomy. From the resultant iterations of the taxonomy, we extracted insights from the categorized studies. RCTs cover a wide range of health conditions including chronic diseases, general wellness, unhealthy practices, family planning, end-of-life, and post-transplant care. The MHIs that were utilized by the RCTs were varied as well, although most studies did not find significant differences between MHIs and usual care. The challenges for MHI-based RCTs include the use of technologies, delayed outcomes, patient recruitment, patient retention, and complex regulatory requirements. These variances can lead to a higher rate of Type I/Type II errors. Further considerations are the impact of infrastructure, contextual and cultural factors, and reductions in the technological relevancy of the intervention itself. Finally, due to the delayed effect of most outcomes, RCTs of insufficient duration are unable to measure significant, lasting improvements. Using the insights from seventy identified studies, we developed a classification of existing RCTs along with guidelines for MHI-based RCTs and a research framework for future RCTs. The framework offers opportunities for (a) personalization of MHIs, (b) use of richer technologies, and (c) emerging areas for RCTs.

Understanding the role of urban social and physical environment in opioid overdose events using found geospatial data

Opioid use disorder is a serious public health crisis in the United States. Manifestations such as opioid overdose events (OOEs) vary within and across communities and there is growing evidence that this variation is partially rooted in community-level social and economic conditions. The lack of high spatial resolution, timely data has hampered research into the associations between OOEs and social and physical environments. We explore the use of non-traditional, "found" geospatial data collected for other purposes as indicators of urban social-environmental conditions and their relationships with OOEs at the neighborhood level. We evaluate the use of Google Street View images and non-emergency "311" service requests, along with US Census data as indicators of social and physical conditions in community neighborhoods. We estimate negative binomial regression models with OOE data from first responders in Columbus, Ohio, USA between January 1, 2016, and December 31, 2017. Higher numbers of OOEs were positively associated with service request indicators of neighborhood physical and social disorder and street view imagery rated as boring or depressing based on a pre-trained random forest regression model. Perceived safety, wealth, and liveliness measures from the street view imagery were negatively associated with risk of an OOE. Age group 50-64 was positively associated with risk of an OOE but age 35-49 was negative. White population, percentage of individuals living in poverty, and percentage of vacant housing units were also found significantly positive however, median income and percentage of people with a bachelor's degree or higher were found negative. Our result shows neighborhood social and physical environment characteristics are associated with likelihood of OOEs. Our study adds to the scientific evidence that the opioid epidemic crisis is partially rooted in social inequality, distress and underinvestment. It also shows the previously underutilized data sources hold promise for providing insights into this complex problem to help inform the development of population-level interventions and harm reduction policies.

Naloxone's dose-dependent displacement of [11C]carfentanil and duration of receptor occupancy in the rat brain

The continuous rise in opioid overdoses in the United States is predominantly driven by very potent synthetic opioids, mostly fentanyl and its derivatives (fentanyls). Although naloxone (NLX) has been shown to effectively reverse overdoses by conventional opioids, there may be a need for higher or repeated doses of NLX to revert overdoses from highly potent fentanyls. Here, we used positron emission tomography (PET) to assess NLX's dose-dependence on both its rate of displacement of [¹¹C]carfentanil ([¹¹C]CFN) binding and its duration of mu opioid receptor (MOR) occupancy in the male rat brain. We showed that clinically relevant doses of intravenously (IV) administered NLX (0.035 mg/kg, Human Equivalent Dose (HED) 0.4 mg; 0.17 mg/kg, HED 2 mg) rapidly displaced the specific binding of [¹¹C]CFN in the thalamus in a dose-dependent manner. Brain MOR occupancy by IV NLX was greater than 90% at 5 min after NLX administration for both doses, but at 27.3 min after 0.035 mg/kg dose and at 85 min after 0.17 mg/kg NLX, only 50% occupancy remained. This indicates that the duration of NLX occupancy at MORs is short-lived. Overall, these results show that clinically relevant doses of IV NLX can promptly displace fentanyls at brain MORs, but repeated or higher NLX doses may be required to prevent re-narcotization following overdoses with long-acting fentanyls.

Positive associations between cannabis and alcohol use polygenic risk scores and phenotypic opioid misuse among African-Americans

BACKGROUND

This study examined whether polygenic risk scores (PRS) for lifetime cannabis and alcohol use were associated with misusing opioids, and whether sex differences existed in these relations in an urban, African-American sample.

METHODS

Data were drawn from three cohorts of participants (N = 1,103; 45% male) who were recruited in first grade as part of a series of elementary school-based, universal preventive intervention trials conducted in a Mid-Atlantic region of the U.S. In young adulthood, participants provided a DNA sample and reported on whether they had used heroin or misused prescription opioids in their lifetime. Three substance use PRS were computed based on prior GWAS: lifetime cannabis use from Pasman et al. (2018), heavy drinking indexed via maximum number of drinks from Gelernter et al. (2019), and alcohol consumption from Kranzler et al. (2019).

RESULTS

Higher PRS for lifetime cannabis use, greater heavy drinking, and greater alcohol consumption were associated with heightened risk for misusing opioids among the whole sample. Significant sex by PRS interactions were also observed such that higher PRS for heavy drinking and alcohol consumption were associated with a greater likelihood of opioid misuse among males, but not females.

CONCLUSION

Our findings further elucidate the genetic contributions to misusing opioids by showing that the genetics of cannabis and alcohol consumption are associated with lifetime opioid misuse among young adults, though replication of our findings is needed.

Opioid-Related Public Health Communication Campaigns: An Environmental Scan

The opioid overdose epidemic continues to devastate lives across the United States and has worsened during the COVID-19 pandemic. In this paper, we review 166 online-accessible opioid-related campaigns to understand the current state of the science and practice of campaigns to address the opioid crisis. The findings suggest that health promotion practitioners can have a greater impact on reducing overdose deaths if they move beyond awareness-raising messaging about opioid misuse and place a greater emphasis on driving demand for evidence-based treatments such as medications for opioid use disorder and on reducing stigma related to treatment and recovery.

A national survey of state laws regarding medications for opioid use disorder in problem-solving courts

BACKGROUND

Problem-solving courts have the potential to help reduce harms associated with the opioid crisis. However, problem-solving courts vary in their policies toward medications for opioid use disorder (MOUD), with some courts discouraging or even prohibiting MOUD use. State laws may influence court policies regarding MOUD; thus, we aimed to identify and describe state laws related to MOUD in problem-solving courts across the US from 2005 to 2019.

METHODS

We searched Westlaw legal software for regulations and statutes (collectively referred to as "state laws") in all US states and D.C. from 2005 to 2019 and included laws related to both MOUD and problem-solving courts in our analytic sample. We conducted a modified iterative categorization process to identify and analyze categories of laws related to MOUD access in problem-solving courts.

RESULTS

Since 2005, nine states had laws regarding MOUD in problem-solving courts. We identified two overarching categories of state laws: 1) laws that prohibit MOUD bans, and 2) laws potentially facilitating access to MOUD. Seven states had laws that prohibit MOUD bans, such as laws prohibiting exclusion of participants from programs due to MOUD use or limiting the type of MOUD, dose or treatment duration. Four states had laws that could facilitate access to MOUD, such as requiring courts to make MOUD available to participants.

DISCUSSION

Relatively few states have laws facilitating MOUD access and/or preventing MOUD bans in problem-solving courts. To help facilitate MOUD access for court participants across the US, model state legislation should be created. Additionally, future research should explore potential effects of state laws on MOUD access and health outcomes for court participants.

Development and validation of a risk-score model for opioid overdose using a national claims database

Opioid overdose can be serious adverse effects of opioid analgesics. Thus, several strategies to mitigate risk and reduce the harm of opioid overdose have been developed. However, despite a marked increase in opioid analgesic consumption in Korea, there have been no tools predicting the risk of opioid overdose in the Korean population. Using the national claims database of the Korean population, we identified patients who were incidentally prescribed non-injectable opioid analgesic (NIOA) at least once from 2017 to 2018 (N = 1,752,380). Among them, 866 cases of opioid overdose occurred, and per case, four controls were selected. Patients were randomly allocated to the development (80%) and validation (20%) cohort. Thirteen predictive variables were selected via logistic regression modelling, and a risk-score was assigned for each predictor. Our model showed good performance with c-statistics of 0.84 in the validation cohort. The developed risk score model is the first tool to identify high-risk patients for opioid overdose in Korea. It is expected to be applicable in the clinical setting and useful as a national level surveillance tool due to the easily calculable and identifiable predictors available from the claims database.

Invited Commentary: Toward a Better Understanding of Disparities in Overdose Mortality

The United States has been in the grip of an epidemic of drug overdose mortality for the past few decades, and deaths from drug overdose increased dramatically during the coronavirus disease 2019 pandemic. Townsend et al. (Am J Epidemiol. 2022;191(4):599-612) add to the growing literature highlighting the steep rise of drug overdose mortality among racial and ethnic minorities in the country. Using data from National Center for Health Statistics death certificates and employing principles of small-area estimation and a Bayesian hierarchical model to stabilize the estimates of smaller racial/ethnic groups and states, the authors found that combinations of opioid/stimulant drug overdose deaths saw a steep increase among racial and ethnic minorities, particularly Black Americans, between 2007 and 2019. The results from their analysis highlight the need to change the narrative around opioid deaths, to invest in targeted policies that address the growing burden of drug overdose faced by racial/ethnic minorities, and the importance of using innovative methods to address limitations to data disaggregation. The paper also demonstrates the importance of a holistic view of the challenges to the health of the American public.

The Effect Of Clinician Feedback Interventions On Opioid Prescribing

An initial opioid prescription with a greater number of pills is associated with a greater risk for future long-term opioid use, yet few interventions have reliably influenced individual clinicians' prescribing. Our objective was to evaluate the effect of feedback interventions for clinicians in reducing opioid prescribing. The interventions included feedback on a clinician's outlier prescribing (individual audit feedback), peer comparison, and both interventions combined. We conducted a four-arm factorial pragmatic cluster randomized trial at forty-eight emergency department (ED) and urgent care (UC) sites in the western US, including 263 ED and 175 UC clinicians with 294,962 patient encounters. Relative to usual care, there was a significant decrease in pills per prescription both for peer comparison feedback (-0.8) and for the combination of peer comparison and individual audit feedback (-1.2). This decrease was sustained during follow-up. There were no significant changes for individual audit feedback alone, and no interventions changed the proportion of encounters with an opioid prescription.

Mechanism of penetrating injury mediates the risk of long-term adverse outcomes for survivors of violent trauma

BACKGROUND

While hospital-based violence intervention programs are primarily designed to aid youth victims of gun violence at high risk for reinjury, the root causes and complex outcomes of community violence are varied. In this study, we examined the risk factors for violent penetrating injury and how the risk of adverse outcomes for survivors differs by injury type (stabbing vs. gunshot wound).

METHODS

This retrospective study was performed using a cohort of patients presenting to the Boston Medical Center emergency department for a penetrating injury due to community violence between 2006 and 2016. Cox proportional hazards regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (95% CIs) for the risk of all-cause mortality and violent reinjury within 3 years after surviving a penetrating injury.

RESULTS

Of the 4,280 survivors of the initial violent penetrating injury, there were 88 deaths (2.1%) and 568 violent reinjuries (13.3%) within 3 years. Compared with gunshot wound victims, stab wound victims were 31% less likely to be reinjured with a gunshot wound (HR, 0.69; 95% CI, 0.51-0.93), 72% more likely to be reinjured with a stab wound (HR, 1.72; 95% CI, 1.21-2.43), and 49% more likely to be reinjured by assault (HR, 1.49; 95% CI, 1.14-1.94). While survivors of stabbing and firearm injuries were equally at risk for 3-year all-cause mortality, stab wound victims were 3.75 times more likely to die by a drug/alcohol overdose (HR, 3.75; 95% CI, 1.11-20.65).

CONCLUSION

Patients surviving a stab wound have a significantly higher risk of violent reinjury by stabbing or assault, and risk of death by drug/alcohol overdose. Hospital-based violence intervention programs with similar patient populations should explore options to expand partnerships with drug treatment programs. These results illustrate two distinct populations of victims of violence-gunshot victims and stabbing/assault victims-with separate risk factors and outcomes, mediated by substance use disorder.

LEVEL OF EVIDENCE

Prognostic and Epidemiologic; level III.

Machine-learning model successfully predicts patients at risk for prolonged postoperative opioid use following elective knee arthroscopy

PURPOSE

Recovery following elective knee arthroscopy can be compromised by prolonged postoperative opioid utilization, yet an effective and validated risk calculator for this outcome remains elusive. The purpose of this study is to develop and validate a machine-learning algorithm that can reliably and effectively predict prolonged opioid consumption in patients following elective knee arthroscopy.

METHODS

A retrospective review of an institutional outcome database was performed at a tertiary academic medical centre to identify adult patients who underwent knee arthroscopy between 2016 and 2018. Extended postoperative opioid consumption was defined as opioid consumption at least 150 days following surgery. Five machine-learning algorithms were assessed for the ability to predict this outcome. Performances of the algorithms were assessed through discrimination, calibration, and decision curve analysis.

RESULTS

Overall, of the 381 patients included, 60 (20.3%) demonstrated sustained postoperative opioid consumption. The factors determined for prediction of prolonged postoperative opioid prescriptions were reduced preoperative scores on the following patient-reported outcomes: the IKDC, KOOS ADL, VR12 MCS, KOOS pain, and KOOS Sport and Activities. The ensemble model achieved the best performance based on discrimination (AUC = 0.74), calibration, and decision curve analysis. This model was integrated into a web-based open-access application able to provide both predictions and explanations.

CONCLUSION

Following appropriate external validation, the algorithm developed presently could augment timely identification of patients who are at risk of extended opioid use. Reduced scores on preoperative patient-reported outcomes, symptom duration and perioperative oral morphine equivalents were identified as novel predictors of prolonged postoperative opioid use. The predictive model can be easily deployed in the clinical setting to identify at risk patients thus allowing providers to optimize modifiable risk factors and appropriately counsel patients preoperatively.

LEVEL OF EVIDENCE

III.

Variability and Excess in Opioid Prescribing Patterns After Cleft and Craniosynostosis Repairs

OBJECTIVE

To critically analyze pediatric opioid prescription patterns after cleft and craniosynostosis repairs.

DESIGN

Observational study 1) retrospectively reviewing pediatric opioid prescriptions from July 2018 to June 2019 and 2) prospectively surveying patients about actual opioid use from August 2019 to February 2020.

SETTING

Academic tertiary care pediatric hospital.

PATIENTS

133 pediatric patients undergoing cleft lip and/or palate or craniosynostosis repairs. Prospective surveys were offered at postoperative visits; 45 of 69 eligible patients were enrolled.

INTERVENTION

None.

MAIN OUTCOME MEASURES

Opioid doses prescribed at discharge and actual home opioid use.

RESULTS

90 patients with cleft lip and/or palate and 43 patients with craniosynostosis were included. Median prescribed opioid doses were 10.3 for cleft lip and/or palate procedures (range 0-75), and 14.3 for craniosynostosis repairs (range 0-50). In patients with cleft lip and/or palate, there was a negative correlation between age at surgery and prescribed opioid doses (r_s  =  -0.228, p  =  0.031). 45 patients completed surveys of home opioid use. No patients used more than 10 doses. Forty percent used no opioids at home, 33% used 1 to 2 doses, 18% used 3 to 5 doses, and 9% used 6 to 10 doses.

CONCLUSIONS

Opioid prescriptions vary widely after common craniofacial procedures. Younger patients with cleft lip and/or palate may be more likely to be prescribed more doses. Actual home opioid use is less than prescribed amounts, with most patients using five or fewer doses. A prescribing guideline is proposed.

Assessing the determinants of completing OAT induction and long-term retention: A population-based study in British Columbia, Canada

BACKGROUND

Pharmacological treatments for opioid use disorder are essential, life-saving medications, yet successful induction of them and long-term retention on them is limited in many settings. Induction into opioid agonist treatment (OAT) features the highest risk of mortality throughout the treatment course, and greatest risk of discontinuation. We aimed to identify determinants of completing OAT induction and, among those completing induction, time to OAT discontinuation in British Columbia (BC), Canada.

METHODS

We conducted a retrospective study using linked population-level health administrative databases to capture all individuals in BC receiving at least one OAT dispensation from January 1, 2008, to September 30, 2018. We constructed covariates capturing client demographics, clinical history, and characteristics of the treatment episode and the primary prescribing physician. We estimated a two-part model to identify determinants of the probability of completing induction using a generalized linear mixed model with logit link and the time to OAT discontinuation among those completing induction using a Cox proportional hazards frailty model.

RESULTS

We observed 220,474 OAT episodes (73.9% initiated with methadone, 24.7% with buprenorphine, and 1.4% with slow-release oral morphine) among 45,608 individuals over the study period. Less than 60% of all OAT episodes completed induction (59.0% for methadone episodes, 56.7% for buprenorphine/naloxone, 41.0% for slow-release oral morphine) and half of all episodes that completed induction reached the minimum effective dosage (51.0% for methadone episodes [60 mg/day], 48.2% for buprenorphine/naloxone [12 mg/day], 59.4% for slow-release oral morphine [240 mg/day]). In multiple regression analysis, the adjusted odds of completing induction with buprenorphine improved over time, exceeding that of methadone in 2018: 1.46 (1.40, 1.51). For those who completed induction, buprenorphine use was associated with shorter times to discontinuation throughout the study period, but the estimated rate of discontinuation decreased over time (adjusted hazard ratio, vs. methadone in 2008: 2.50 (2.35, 2.66); in 2018: 1.79 (1.74, 1.85)).

CONCLUSION

We found low rates of completing OAT induction and, for those who did complete it, low rates of reaching the minimum effective dose.

Factors associated with opioid-involved overdose among previously incarcerated people in the U.S.: A community engaged narrative review

BACKGROUND

People with a history of incarceration are at high risk for opioid overdose. A variety of factors contribute to this elevated risk though our understanding of these factors is deficient. Research to identify risk and protective factors for overdose is often conducted using administrative data or researcher-derived surveys and without explicit input from people with lived experience. We aimed to understand the scope of U.S. research on factors associated with opioid overdose among previously incarcerated people. We did this by conducting a narrative review of the literature and convening expert panels of people with lived experience. We then categorized these factors using a social determinants of health framework to help contextualize our findings.

METHODS

We first conducted a narrative review of the published literature. A search was performed using PubMed and APA PsycInfo. We then convened two expert panels consisting of people with lived experience and people who work with people who were previously incarcerated. Experts were asked to evaluate the literature derived factors for completeness and add factors that were not identified. Finally, we categorized factors as either intermediary or structural according to the World Health Organization's Social Determinants of Health (SDOH) Framework.

RESULTS

We identified 13 papers that met our inclusion criteria for the narrative review. Within these 13 papers, we identified 22 relevant factors for their role in the relationship between overdose and people with a history of incarceration, 16 were risk factors and six were protective factors. Five of these were structural factors (three risk and two protective) and 17 were intermediary factors (13 risk and four protective). The expert panels identified 21 additional factors, 10 of which were structural (six risk and four protective) and 11 of which were intermediary (eight risk and three protective).

CONCLUSION

This narrative review along with expert panels demonstrates a gap in the published literature regarding factors associated with overdose among people who were previously incarcerated. Additionally, this review highlights a substantial gap with regard to the types of factors that are typically identified. Incorporating voices of people with lived experience is crucial to our understanding of overdose in this at-risk population.

Using Economic Evaluation to Inform Responses to the Opioid Epidemic in the United States: Challenges and Suggestions for Future Research

Background: Several aspects of the opioid epidemic and of public health care organization in the United States (US) make the conduct of economic evaluation and the design of policies to respond to this crisis particularly challenging. Objectives: This commentary offers suggestions for how economic evaluation may address and overcome four key features of the opioid epidemic: 1) its magnitude and geographical distribution, 2) its intersection with multiple epidemics, 3) its rapidly changing dynamics, 4) its multi-sectoral causes and consequences. Results: We first offer pragmatic suggestions to address the difficulties in delivering a coordinated response given the fragmented nature of health care in the US. In view of the broad suite of responses required to address opioid use disorder and its associated comorbidities, we highlight the need for economic evaluations which consider interventions throughout the continuum of care (i.e. primary, secondary and tertiary levels of prevention). We examine how the use of predictive modelling alongside economic evaluation might be adopted to address the rapidly evolving situation affecting distinct populations and geographic areas and encourage investments in epidemic preparedness. Finally, we propose methods to capture the interdependence of various sectors of government affected by the opioid crisis in economic evaluations to ensure optimal levels of investment towards a comprehensive response. Conclusions: The opioid epidemic in the US represents an unprecedented public health challenge, but sound epidemiological modelling and economic analysis can help to guide use of limited resources committed to addressing it in ways that can have greatest impact in limiting its adverse consequences.

A Novel Peripheral Action of PICK1 Inhibition in Inflammatory Pain

Chronic pain is a major healthcare problem that impacts one in five adults across the globe. Current treatment is compromised by dose-limiting side effects including drowsiness, apathy, fatigue, loss of ability to function socially and professionally as well as a high abuse liability. Most of these side effects result from broad suppression of excitatory neurotransmission. Chronic pain states are associated with specific changes in the efficacy of synaptic transmission in the pain pathways leading to amplification of non-noxious stimuli and spontaneous pain. Consequently, a reversal of these specific changes may pave the way for the development of efficacious pain treatment with fewer side effects. We have recently described a high-affinity, bivalent peptide TAT-P4-(C5)2, enabling efficient targeting of the neuronal scaffold protein, PICK1, a key protein in mediating chronic pain sensitization. In the present study, we demonstrate that in an inflammatory pain model, the peptide does not only relieve mechanical allodynia by targeting PICK1 involved in central sensitization, but also by peripheral actions in the inflamed paw. Further, we assess the effects of the peptide on novelty-induced locomotor activity, abuse liability, and memory performance without identifying significant side effects.

The Efficacy and Safety of Ultrasound-Guided, Bi-Level, Erector Spinae Plane Block With Different Doses of Dexmedetomidine for Patients Undergoing Video-Assisted Thoracic Surgery: A Randomized Controlled Trial

Background: The anesthetic characteristics of ultrasound-guided bi-level erector spinae plane block (ESPB) plus dexmedetomidine (Dex) remain unclear. We compared the efficacy and safety of ultrasound-guided bi-level ESPB plus different doses of Dex in patients undergoing video-assisted thoracic surgery (VATS).

Methods: One-hundred eight patients undergoing VATS were randomized into three groups: R group (n = 38, 15 ml of 0.375% ropivacaine with 0.1 mg/kg dexamethasone), RD1 group (n = 38, 15 ml of 0.375% ropivacaine plus 0.5 μg/kg DEX with 0.1 mg/kg dexamethasone) and RD2 group (n = 38, 15 ml of 0.375% ropivacaine plus 1.0 μg/kg DEX with 0.1 mg/kg dexamethasone). The primary outcome was the pain 12 h after surgery. Secondary outcomes included the Prince Henry Hospital Pain Score; hemodynamics; consumption of sufentanil; anesthetized dermatomal distribution; recovery time; rescue analgesia; satisfaction scores of patients and surgeon; quick recovery index; adverse effects; the prevalence of chronic pain and quality of recovery.

Results: The visual analog scale (VAS) and the Prince Henry pain score were significantly lower in both the RD1 and RD2 groups during the first 24 h after surgery (P < 0.05). Both VAS with coughing and the Prince Henry pain score were significantly lower in the RD2 group than in the RD1 group 8–24 h after surgery (P < 0.05). Both heart rate and mean arterial pressure were significantly different from T2 to T6 in the RD1 and RD2 groups (P < 0.05). The receipt of remifentanil, propofol, Dex, and recovery time was significantly reduced in the RD2 group (P < 0.05). The requirement for sufentanil during the 8–72 h after surgery, less rescue medication, and total press times were significantly lower in the RD2 group (P < 0.05). The time to the first dose of rescue ketorolac was significantly longer in the RD2 group (P < 0.05). Further, anal exhaust, removal of chest tubes, and ambulation were significantly shorter in the RD2 group (P < 0.05). The incidence of tachycardia, post-operative nausea and vomiting, and chronic pain was significantly reduced in the RD2 group, while the QoR-40 score was significantly higher in the RD2 group (P < 0.05).

Conclusions: Pre-operative bi-level, single-injection ESPB plus 1 μg/kg DEX provided superior pain relief and long-term post-operative recovery for patients undergoing VATS.

Clinical Trial Registration:http://www.chictr.org.cn/searchproj.aspx.

Detecting risk level in individuals misusing fentanyl utilizing posts from an online community on Reddit

INTRODUCTION

Opioid misuse is a public health crisis in the US, and misuse of synthetic opioids such as fentanyl have driven the most recent waves of opioid-related deaths. Because those who misuse fentanyl are often a hidden and high-risk group, innovative methods for identifying individuals at risk for fentanyl misuse are needed. Machine learning has been used in the past to investigate discussions surrounding substance use on Reddit, and this study leverages similar techniques to identify risky content from discussions of fentanyl on this platform.

METHODS

A codebook was developed by clinical domain experts with 12 categories indicative of fentanyl misuse risk, and this was used to manually label 391 Reddit posts and comments. Using this data, we built machine learning classification models to identify fentanyl risk.

RESULTS

Our machine learning risk model was able to detect posts or comments labeled as risky by our clinical experts with 76% accuracy and 76% sensitivity. Furthermore, we provide a vocabulary of community-specific, colloquial words for fentanyl and its analogues.

DISCUSSION

This study uses an interdisciplinary approach leveraging machine learning techniques and clinical domain expertise to automatically detect risky discourse, which may elicit and benefit from timely intervention. Moreover, our vocabulary of online terms for fentanyl and its analogues expands our understanding of online "street" nomenclature for opiates. Through an improved understanding of substance misuse risk factors, these findings allow for identification of risk concepts among those misusing fentanyl to inform outreach and intervention strategies tailored to this at-risk group.

Pain relief with combination acetaminophen/codeine or ibuprofen following third-molar extraction: A systematic review and meta-analysis

OBJECTIVE

The purpose of our study was to perform a systematic review and meta-analysis of randomized, blinded, placebo-controlled studies that, following third-molar extraction, utilized either a combination of acetaminophen (600 mg) with codeine (60 mg) or ibuprofen (400 mg) for pain management.

DESIGN

We searched PubMed, and the trial registry ClinicalTrials.gov databases with the keywords "molar or molars", "tooth or teeth", "extraction" and "pain". Selected studies were: (1) randomized, blinded, placebo controlled, (2) utilized either a single-dose combination acetaminophen (600 mg) with codeine (60 mg) (A/C) or ibuprofen, and (3) recorded standardized pain relief (PR) at 6 hours, or summed total pain relief over 6 hours (TOTPAR6). Of the 2,949 articles that were identified, 79 were retrieved for full-text analysis, and 20 of these studies met our inclusion criteria.

RESULTS

For A/C, the weighted, standardized mean difference (SMD) for TOTPAR6 was 0.796 (0.597-0.995, 95% confidence interval), P < 0.001, and for PR at 6 h, the SMD was 0.0186 (0.007 to 0.378; P = 0.059), whereas for ibuprofen the SMD for TOTPAR6 was 3.009 (1.283 to 4.735; P = 0.001), and for PR at 6 h, the SMD was 0.854 (95% CI, 0.712 to 0.996; P < 0.001). A SMD of 0.8 or larger is indicative of a large effect.

CONCLUSIONS

Our data indicate that single dose of ibuprofen (400 mg) is an effective pain reducer for post third molar extraction pain.

Spatiotemporal trends in discarded needle reports near schools in Boston, Massachusetts, between 2016-2019

BACKGROUND

Childhood exposures to discarded needles pose a direct risk for infection with blood-borne pathogens and psychological trauma for caregivers and children. Little is known about environmental predictors of discarded needles relative to areas where children are frequent, such as schools.

OBJECTIVE

We investigated spatiotemporal trends in discarded needle reports and the density near schools in Boston, Massachusetts, between 2016 and 2019.

METHODS

We used the kernel density estimation (KDE) and a relative risk function (RRF) to explore their spatial distribution and temporal changes of discarded needles reported through the 311 service request system in Boston. The density of needle pick-up requests around schools was investigated by using Thiessen polygons.

RESULTS

Between January 2016 and December 2019, 18,272 discarded needle reports were made. Publicly reported discarded needles in Boston sharply increased over the 4 years and the highest density of needles was found in 2 central neighborhoods. The density of reports of discarded needles near schools increased among the majority of schools. About 30% of schools demonstrated an increase of 100% or more in reports of discarded needles.

CONCLUSION

This analysis provides insight into potential risk of exposure to needle stick injuries for children based on utilizing publicly available crowd-sourced data. Monitoring the density of discarded needles near schools may be a novel approach to improve public health efforts to distribute safe needle disposal locations and reduce injection drug use in public.

Assessing local California trends in emergency physician opioid prescriptions from 2012 to 2020: Experiences in a large academic health system

OBJECTIVES

There has been increased focus nationally on limiting opioid prescriptions. National data demonstrates a decrease in annual opioid prescriptions among emergency medicine physicians. We analyzed data from 2012 to 2020 from a large academic health system in California to understand trends in opioid prescribing patterns for emergency department (ED) discharged patients and assessed the potential impact of two initiatives at limiting local opioid prescriptions.

METHODS

In 2012-2020, monthly ED visit data was used to evaluate the total number of outpatient opioid prescriptions and percent of ED visits with opioid prescriptions (as primary outcomes). Descriptive statistics, graphic representation, and segmented regression with interrupted times series were used based on two prespecified time points associated with intensive local initiatives directed at limiting opioid prescribing1) comprehensive emergency medicine resident education and 2) electronic health record (EHR)-based intervention.

RESULTS

Between March 2012 and July 2020, a total of 41,491 ED discharged patients received an opioid prescription. The three most commonly prescribed drugs were hydrocodone (84.1%), oxycodone (10.8%), and codeine (2.8%). After implementing comprehensive emergency medicine resident education, the total number of opioid prescriptions, the percentage of opioid prescriptions over total ED visit numbers and the total tablet number showed decreasing trends (p's ≤ 0.01), in addition to the natural (pre-intervention) decreasing trends. In contrast, later interventions in the EHR tended to show attenuated decreasing trends.

CONCLUSIONS

From 2012 to 2020, we found that total opioid prescriptions decreased significantly for discharged ED patients. This trend is seen nationally. However, our specific interventions further heightened this downward trend. Evidence-based legislation, policy changes, and educational initiatives that impact prescribing practices should guide future efforts.