Predicting aberrant drug behavior in patients treated for chronic pain: importance of abuse history

Drug dependence and prescribing ketamine for treatment-resistant depression in Australia and New Zealand

Ketamine is a restricted and regulated medication in Australia and New Zealand, which has implications when considering treatment for patients with treatment-resistant depression and a history of illicit drug use, abuse or dependence. Regulations governing prescription of ketamine for treatment-resistant depression vary between jurisdictions in Australia and New Zealand, though most restrict use in those with drug dependence. There is substantial variation in definitions of drug dependence used in each jurisdiction, and between the legal and clinical definitions, with the latter specified in the current International Classification of Diseases, Eleventh Revision and Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition. This paper reviews the literature assessing the risk of ketamine misuse and dependence in patients with a history of illicit drug use, abuse or dependence and presents recommendations for psychiatrists who prescribe ketamine in such patients with treatment-resistant depression.

A neural network approach to predict opioid misuse among previously hospitalized patients using electronic health records

Can Electronic Health Records (EHR) predict opioid misuse in general patient populations? This research trained three backpropagation neural networks to explore EHR predictors using existing patient data. Model 1 used patient diagnosis codes and was 75.5% accurate. Model 2 used patient prescriptions and was 64.9% accurate. Model 3 used both patient diagnosis codes and patient prescriptions and was 74.5% accurate. This suggests patient diagnosis codes are best able to predict opioid misuse. Opioid misusers have higher rates of drug abuse/mental health disorders than the general population, which could explain the performance of diagnosis predictors. In additional testing, Model 1 misclassified only 1.9% of negative cases (non-abusers), demonstrating a low type II error rate. This suggests further clinical implementation is viable. We hope to motivate future research to explore additional methods for universal opioid misuse screening.

Influence of Intravenous S-Ketamine on the Pharmacokinetics of Oral Morphine in Healthy Volunteers

BACKGROUND

Subanesthetic ketamine may reduce perioperative consumption of opioids. We studied whether intravenous S-ketamine alters the pharmacokinetics of oral morphine in healthy volunteers.

METHODS

In this paired, randomized, double-blind, crossover trial, 12 participants under a 2-hour intravenous S-ketamine (0.57 mg/kg/h) or placebo infusion received oral morphine (0.2 mg/kg) at 30 minutes. Plasma concentrations of ketamine, morphine, and their major metabolites were quantified for 24 hours. The primary end point was area under the curve (AUC) 0-24 of morphine. Other pharmacokinetic variables for morphine and its metabolites were studied as secondary end points. The data were analyzed as between-phase comparisons for each participant using Wilcoxon matched-pairs signed-rank tests ( tmax ) or paired t -tests on log-transformed variables (other variables).

RESULTS

While the AUC 0-24 was similar between the 2 phases, S-ketamine reduced the AUC 0-1.5 of oral morphine by 69% (ratio to control, 0.31; 90% confidence interval [CI], 0.15-0.65; P = .0171) and increased its tmax from 0.5 (range, 0.50-1.5) to 1.0 hour (range, 0.50-4.0; P = .010). The AUC 0-1.5 of morphine-6-glucuronide (M6G) was reduced by 84% (0.16; 90% CI, 0.07-0.37; P = .0025) and maximum plasma concentration ( Cmax ) by 43% (0.57; 90% CI, 0.40-0.81; P = .0155), while its tmax was increased from 1.5 (range, 1.0-2.0) to 4.0 (range, 1.0-8.0; P = .0094) hours by S-ketamine. Similarly, the AUC 0-1.5 of morphine-3-glucuronide (M3G) was reduced by 85% (0.15; 90% CI, 0.05-0.43; P = .0083), and tmax increased from 1.0 (range, 0.5-1.5) to 4.0 hours (range, 1.0-8.0; P = .0063). In addition, the M6G-to-morphine and M3G-to-morphine metabolic AUC ratios were decreased by 47% (0.53; 90% CI, 0.39-0.71; P = .0033) and 52% (0.48; 90% CI, 0.27-0.85; P = .0043) during 0 to 1.5 hours and by 15% (0.85; 90% CI, 0.78-0.92; P = .0057) and 10% (0.90; 90% CI, 0.83-0.98; P = .0468) during 0 to 24 hours, respectively. One participant was excluded from the analyses due to vomiting in the S-ketamine phase.

CONCLUSIONS

Intravenous S-ketamine inhibited the metabolism of oral morphine and delayed its absorption, resulting in a net reduction in the exposure to morphine during the first 1.5 hours. Intravenous S-ketamine may delay the absorption and impair the efficacy of orally administered analgesics and other drugs.

Algorithms to Identify Nonmedical Opioid Use

The rise in nonmedical opioid overdoses over the last two decades necessitates improved detection technologies. Manual opioid screening exams can exhibit excellent sensitivity for identifying the risk of opioid misuse but can be time-consuming. Algorithms can help doctors identify at-risk people. In the past, electronic health record (EHR)-based neural networks outperformed Drug Abuse Manual Screenings in sparse studies; however, recent data shows that it may perform as well or less than manual screenings. Herein, a discussion of several different manual screenings and recommendations is contained, along with suggestions for practice. A multi-algorithm approach using EHR yielded strong predictive values of opioid use disorder (OUD) over a large sample size. A POR (Proove Opiate Risk) algorithm provided a high sensitivity for categorizing the risk of opioid abuse within a small sample size. All established screening methods and algorithms reflected high sensitivity and positive predictive values. Neural networks based on EHR also showed significant effectiveness when corroborated with Drug Abuse Manual Screenings. This review highlights the potential of algorithms for reducing provider costs and improving the quality of care by identifying nonmedical opioid use (NMOU) and OUD. These tools can be combined with traditional clinical interviewing, and neural networks can be further refined while expanding EHR.

A population-based study on the risk of prescription opioid abuse in patients with chronic opioid use and cost-effectiveness of prescription drug monitoring program using a patient simulation model in South Korea

BACKGROUND

Concerns regarding the burden of inappropriate opioid use are growing. We examined the association between prescription opioid abuse and patient characteristics and estimated the cost-effectiveness of the prescription drug monitoring program (PDMP) implemented in South Korea, considering patient-level information.

METHODS

A retrospective cohort study was conducted to explore the association between opioid abuse and patient characteristics using the National Health Insurance Service-National Sample Cohort (NHIS-NSC) database. We selected non-cancer patients with chronic opioid use and investigated the incidence of opioid abuse between 2010 and 2015. The association between opioid abuse and patient characteristics was assessed using the Cox proportional hazards model. The cost-effectiveness of the PDMP was assessed using discrete event simulation (DES) with a time horizon of 30 years from a societal perspective. Time-to-event data and event costs were obtained from the NHIS-NSC database. The abuse rate was adjusted for each patient based on the baseline characteristics and history of abuse experienced in the model. Program effectiveness, program costs, and health-state utilities were obtained from the published literature. The incremental cost-utility ratio (ICUR) was estimated at a discount rate of 5% for both costs and quality-adjusted life-years (QALYs).

RESULTS

We identified 22,524 patients with chronic opioid use in the NHIS-NSC database. Every one-year increase in age (hazard ratio: 1.002 [95% CI: 1.000-1.003]), medical aid program (1.130 [95% CI: 1.072-1.191]), high Charlson Comorbidity Index (1.054 [95% CI: 1.044-1.065]), and history of opioid abuse (1.501 [95% CI: 1.391-1.620] and 3.005 [95% CI: 2.387-3.783] for 1-2 and ≥3 abuse events, respectively) significantly increased the risk of opioid abuse. In the DES, the PDMP was cost-effective, with an estimated ICUR of $2,227/QALY, which was most affected by the program's effectiveness.

CONCLUSION

Patient characteristics and history of opioid abuse affected the risk of opioid abuse. Considering patient-level information, the PDMP implemented in South Korea is likely to be cost-effective.

Learning from addiction: Craving of prescription opioids in chronic pain sufferers

Prescription opioids are a primary driver of opioid-related deaths. Although craving is a substantial component of OUD, the degree to which craving leads to misuse among chronic pain patients on long-term prescription opioids is unknown. A clear understanding of the factors that lead to misuse in this vulnerable population is needed for the development of safe and effective practices for opioid taper. This narrative review summarizes the relevant literature on the role of craving in addiction and chronic pain through epidemiological and behavioral studies. The first part of this review examines the role of craving in predicting opioid use/misuse in individuals with chronic pain with and without OUD. The second part covers methods on how craving is evaluated experimentally using both subjective and objective measures and provides related findings. The overall goal of this review is to facilitate the development of a population-specific description of craving in those who use opioids to control chronic pain and to describe how it may be mechanistically linked to patterns of opioid (mis)use.

The Impact of Smoking on the Development and Severity of Chronic Pain

PURPOSE OF REVIEW

The purpose of this review is to examine the impact of smoking and its role on the development of chronic pain and provide a critical review of recent literature.

RECENT FINDINGS

Recent studies demonstrate the bidirectional and dependent relationship between smoking and chronic pain. Those who are in pain have a more difficult time in the cessation of smoking as well as an increased sensitivity to pain during abstinence, lower confidence, and higher relapse rates. The fear of pain and the anxiety and depression that abstinence causes results in a grim outcome for long-term cessation. The dependent nature between chronic pain and smoking is affected by numerous variables. Providers should consider a multiprong approach to treating chronic pain and targeting smoking cessation treatment by providing motivational therapy, nicotine replacement, and medication therapies to prevent relapse, and providing those who are more likely to relapse with a higher level of care.

Clinical scoring algorithm for the prescription opioid misuse and abuse questionnaire (POMAQ)

OBJECTIVE

The Prescription Opioid Misuse and Abuse Questionnaire (POMAQ) was developed to identify prescription opioid misuse and abuse among patients with chronic pain. A clinical scoring algorithm was developed and refined to align with the patient experience.

METHODS

This study utilized data from the POMAQ validation study (3033-4, NCT02660606) conducted on a sample of patients with chronic pain living in the United States. The study was carried out in two phases. Two purposefully enriched patient samples, one for each phase, were created based on patient responses to select POMAQ items and the availability of urine and hair samples. Two clinical experts (SHS, SFB) reviewed patient data to classify prescription opioid use behavior. Classification differences were adjudicated by a third clinical expert (JTF). Comparisons were made between the final clinical classification determined by the experts and the proposed classification based on the POMAQ algorithm.

RESULTS

Sixty patients were included in Phase I (only POMAQ data) and 52 in Phase II (including POMAQ and ancillary sources [e.g. electronic medical records, urine toxicity screen]). Refinements were made to the POMAQ scoring algorithm following discussions with clinical experts to ensure it was clinically relevant. For both phases, classifications were reviewed and discussed to achieve maximal concordance of classifications across experts. The proposed scoring algorithm was then modified to maximize agreement with the expert interpretation of clinically relevant patient experiences.

CONCLUSION

The clinical scoring algorithm for the POMAQ was developed and refined to reflect clinically relevant patient behaviors identified by expert review. Future testing is needed to determine the sensitivity and specificity of this measure.

Predictors of Pain Reliever Misuse Among Respondents of the United States 2017 National Survey on Drug Use and Health

The risk factors for potential opioid misuse and abuse in patients receiving long-term opioid pain treatment have been a topic of interest in research for many years. There are differences among patients who receive long-term opioid pain treatment. These differences may or may not lead to opioid misuse. This study analyzes the different characteristics and predictors of prescription pain reliever misuse among respondents of the United States 2017 National Survey on Drug Use and Health. It examines the relationships of age, gender, income, perception of risk and availability of heroin, past substance use and alcohol use, the source of the pain relievers, and motivation to misuse pain relievers to pain reliever misuse and if these variables significantly predict pain reliever misuse. Data used in this study were analyzed through sequential multiple linear regression analyses. The significant positive predictors of prescription pain reliever misuse were being 26 or older, perceiving heroin as easily obtainable, and past methamphetamine use. The significant negative predictors of prescription pain reliever misuse were being 12 to 25 years old, perceiving heroin as a great risk, past alcohol use, and obtaining pain relievers from a friend or relative. The goal of this study was to increase the amount of knowledge regarding predictors of prescription opioid misuse to identify those who are at risk and decrease prescription opioid misuse and overdose rates in the United States.

Increasing cessation motivation and treatment engagement among smokers in pain: A pilot randomized controlled trial

Tobacco smokers with co-occurring pain report greater difficulty quitting, face unique cessation challenges, and may benefit from targeted smoking interventions. We developed and tested a brief motivational intervention aimed at increasing knowledge of pain-smoking interrelations, motivation to quit, and cessation treatment engagement among smokers in pain. Nontreatment seeking daily cigarette smokers with chronic pain (N = 76, 57.9% women, 52.6% White) were randomized to the targeted or ask, advise, refer (AAR) intervention. The targeted intervention included personalized feedback and pain-smoking psychoeducation to help participants develop discrepancy between continued smoking and desired pain outcomes. At postintervention, the targeted intervention (vs. AAR) increased knowledge of pain-smoking interrelations and several indices of motivation to quit smoking (ps < .01). Participants who received the targeted intervention were also more likely to accept information about and report intention to engage evidence-based cessation treatments (ps < .05). Increased knowledge of pain-smoking interrelations mediated postintervention effects on motivation to quit and willingness to learn about treatments. At 1-month follow up, gains in knowledge of pain-smoking interrelations were maintained (p = .009). Participants who received the targeted intervention were more likely to report having subsequently engaged cessation treatment (p = .019), but this was not mediated by increased knowledge of pain-smoking interrelations. Smokers with chronic pain may benefit from targeted interventions that address smoking in the context of pain. Smokers in pain may become increasingly motivated to quit and engage cessation treatment as they become aware of how smoking may exacerbate their pain. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Traditional Cigarette and Poly-Tobacco Use Are Associated with Medical Opioid Use in Rural Areas of the US

Introduction: Medical prescriptions for opioids are higher in rural areas of the US as compared to urban areas. Tobacco use may also play a role in this process. This analysis examines the association between differing types of tobacco use and medical opioid use. Methods: We analyze the relationship between tobacco product use and medical opioid use among the US general population living in rural (non-metropolitan) areas using the publicly available sample adult file 2019 National Health Interview Survey (NHIS) (n = 5028). Tobacco use was classified into the following categories: only using cigarettes, only using e-cigarettes/vapes, only using cigars, only using smokeless tobacco, or using two or more of the following products. We used a binary logistic regression, controlling for individual differences. Results: Individuals who reported using only traditional cigarettes (and no other tobacco product, OR = 1.62, 95% CI: 1.31, 2.01), or who reported being a poly-tobacco users (OR = 2.13, 95% CI: 1.40, 3.22) had higher odds of medical opioid use in the last twelve months. Conclusion: Results suggest a link between tobacco use, particularly cigarette use and poly-tobacco use, and medical opioid use in rural communities. Clinical and structural level interventions need to be implemented in rural communities to reduce comorbid tobacco and opioid use.

Risk and benefit of cannabis prescription for chronic non-cancer pain

OBJECTIVES

We investigated whether cannabis usage was associated with reduced opioid usage, and the rates of opioid and cannabis use disorders among chronic pain patients who had been prescribed medical cannabis.

METHODS

A random sample of chronic pain patients who had license for cannabis use were interviewed by telephone about their lifetime opioid and cannabis usage. Cannabis and opioid use disorders were assessed with Portenoy's criteria.

RESULTS

Of the 100 participants aged 18-70 years (compliance 67% (aged >40) and 33% (aged ≤ 40y)), 76 ever used opioids. Of them, 93% decreased or stopped opioids following cannabis initiation. Ten patients (10%), 17.4% of the ≤40 y age group, met the criteria for cannabis use disorder. Compared to those who did not meet the criteria, their lifetime depression was higher (80% vs. 43.2%, respectively, P=.042), and they were less educated (12.2 ± 0.6y vs. 13.5 ± 2.1y, p = 0.05).

CONCLUSIONS

Cannabis usage was associated with reduced opioid usage. The prevalence of cannabis use disorder was high among the younger participants who also had a lower study compliance rate, suggesting the higher actual prevalence of cannabis use disorder. While medical cannabis may help reduce opioid use in chronic non-cancer pain patients, younger age, depression, and other risk factors should be carefully evaluated before cannabis is prescribed.

Opioid Misuse among Smokers with Chronic Pain: Relations with Substance Use and Mental Health

Opioid misuse is a significant public health concern with substantial medical, social, and economic costs. Cross cutting the personal and societal effects of this current crisis, opioid misuse is associated with poorer physical and mental health outcomes that impair function across numerous life domains. Importantly, opioid misuse disproportionately affects persons with chronic pain and individuals who smoke tobacco. Despite the higher risk for smokers with chronic pain to engage in opioid misuse, little work has examined how opioid misuse may be related to mental health problems, including other substance use, among this vulnerable group. The current study examined opioid misuse as a predictor of substance use and mental health problems among 187 (M_age = 39.02, SD = 9.94, 74.9% female) daily cigarette smokers with chronic pain who currently use opioids. Results indicated that opioid misuse is associated with greater tobacco (13% of variance), alcohol (27% of variance), and cannabis (22% of variance) problems, as well as anxiety (26% of variance) and depressive symptoms (26% of variance). These results highlight the potential importance of opioid misuse in terms of concurrent substance and mental health problems among smokers with chronic pain. Future work is needed to explicate directionality and temporal ordering in the observed relations.

Anxiety sensitivity, pain severity and co-use of cigarettes and e-cigarettes among adults with chronic pain

Anxiety sensitivity (fear of potential negative consequences of anxiety-related symptoms/sensations) has been identified as a transdiagnostic factor in comorbid pain and nicotine dependence and evidence suggests that anxiety sensitivity may be indirectly associated with nicotine use via greater pain severity. Therefore, this study tested the hypothesis that anxiety sensitivity is associated with cigarette and e-cigarette use/co-use directly and indirectly via greater pain severity. Participants included 273 online survey respondents with chronic musculoskeletal pain (34% female; Mage = 32.9). Anxiety sensitivity was positively associated with cigarette smoking, e-cigarette use and cigarette/e-cigarette co-use (ps < .05). Furthermore, anxiety sensitivity was indirectly and positively associated with cigarette smoking, e-cigarette use and co-use via greater chronic pain severity. Pain severity may play an important role in associations between anxiety sensitivity and nicotine dependence and prospective research should examine temporal/causal effects of anxiety sensitivity in relation to pain severity and nicotine/tobacco use.

Predictors of Chronic Opioid Use: A Population-level Analysis of North Carolina Cancer Survivors Using Multi-Payer Claims

Background

No population-based studies have examined chronic opioid use among cancer survivors who are diverse with respect to diagnosis, age group, and insurance status.

Methods

We conducted a retrospective cohort study using North Carolina cancer registry data linked with claims from public and private insurance (2006-2016). We included adults with nonmetastatic cancer who had no prior chronic opioid use (n = 38 366). We used modified Poisson regression to assess the adjusted relative risk of chronic opioid use in survivorship (>90-day continuous supply of opioids in the 13-24 months following diagnosis) associated with patient characteristics.

Results

Only 3.0% of cancer survivors in our cohort used opioids chronically in survivorship. Predictors included younger age (adjusted risk ratio [aRR] 50-59 vs 60-69 = 1.23, 95% confidence interval [CI] = 1.05 to 1.43), baseline depression (aRR = 1.22, 95% CI = 1.06 to 1.41) or substance use (aRR = 1.43, 95% CI = 1.15 to 1.78) and Medicaid (aRR vs private = 1.93, 95% CI = 1.56 to 2.40). Survivors who used opioids intermittently (vs not at all) before diagnosis were twice as likely to use opioids chronically in survivorship (aRR = 2.62, 95% CI = 2.28 to 3.02). Those who used opioids chronically (vs intermittently or not at all) during active treatment had a nearly 17-fold increased likelihood of chronic use in survivorship (aRR = 16.65, 95% CI = 14.30 to 19.40).

Conclusions

Younger and low-income survivors, those with baseline depression or substance use, and those who require chronic opioid therapy during treatment are at increased risk for chronic opioid use in survivorship. Our findings point to opportunities to improve assessment of psychosocial histories and to engage patients in shared decision-making around long-term pain management, when chronic opioid therapy is required during treatment.

Pain Status as a Predictor of Smoking Cessation Initiation, Lapse, and Relapse

INTRODUCTION

Pain and cigarette smoking are highly prevalent and frequently co-occurring conditions that interact in the manner of a positive feedback loop. Despite initial evidence that smokers with co-occurring pain may experience greater difficulty quitting, we are unaware of previous research that has tested prospective associations between pain status and the attainment of smoking cessation milestones.

AIMS AND METHODS

This study examined past 2-week pain status as a predictor of cessation milestones among current smokers who were motivated to quit (Sample 1; N = 301) and smokers who recently initiated a cessation attempt (Sample 2; N = 242). Cessation milestones included initiation of a quit attempt and 7-day point prevalence abstinence (PPA; Sample 1), lapse/relapse (Sample 2), and 7-day PPA at 2-month follow-up (both samples). Indirect associations between pain status and cessation milestones via confidence in quitting and nicotine withdrawal were also examined.

RESULTS

Smokers with pain (vs. no pain) were as follows: less likely to initiate a quit attempt and achieve 7-day PPA; more likely to lapse and/or relapse; and less likely to report 7-day PPA at follow-up. Pain status was indirectly associated with latency cessation milestones via confidence in quitting and with latency to lapse via withdrawal severity.

CONCLUSIONS

This study demonstrated that pain status can predict smoking cessation outcomes. Clinical implications include the need to assess pain in the context of quitting and that smokers with co-occurring pain may benefit from tailored/integrated cessation interventions.

IMPLICATIONS

A growing empirical literature indicates that the presence of co-occurring pain probably contributes to the maintenance of cigarette dependence. The current results provide novel evidence that smokers with co-occurring past 2-week pain are less likely to initiate a quit attempt and maintain smoking abstinence than smokers without co-occurring pain. These findings suggest that smokers with pain face unique barriers to quitting and underscore the utility of assessing and addressing pain among all smokers who are planning a smoking cessation attempt.

Construct validity and reproducibility of the Prescription Opioid Misuse And Abuse Questionnaire (POMAQ)

OBJECTIVE

The Prescription Opioid Misuse and Abuse Questionnaire was developed to identify prescription opioid abuse and misuse among patients with chronic pain, however, evidence of construct validity and reproducibility is needed.

METHODS

Chronic pain patients were recruited from five Department of Defense Military Health System clinics across the United States. Construct validity was examined using subjective clinician-reported and patient-reported measures as well as objective information (e.g. hair/urine drug screens and electronic medical records). Test-retest reliability was assessed across 2 timepoints among a subgroup of patients with stable chronic pain.

RESULTS

Of 3,263 screened patients, 938 (28.7%) met eligibility and were enrolled; 809 (86.2%) completed the Prescription Opioid Misuse and Abuse Questionnaire. Construct validity was supported by comparison to other validated questionnaires and hair and urine screens which yielded high agreements with patient reports on the Prescription Opioid Misuse and Abuse Questionnaire. Electronic medical record data supported patients' Prescription Opioid Misuse and Abuse Questionnaire responses regarding physician and emergency room visits and opioid refills. The Prescription Opioid Misuse and Abuse Questionnaire had excellent test-retest reliability; the percentage agreement between the two Prescription Opioid Misuse and Abuse Questionnaire administrations was high (>90%) for most questions.

DISCUSSION

Results suggest that the Prescription Opioid Misuse and Abuse Questionnaire is a valid and reproducible tool that can be used to assess the presence of prescription opioid misuse and abuse among patients with chronic pain.

Prevalence and impact of comorbid chronic pain and cigarette smoking among people living with HIV

Rates of chronic pain and cigarette smoking are each substantially higher among people living with HIV (PLWH) than in the general population. The goal of these analyses was to examine the prevalence and impact of comorbid chronic pain and cigarette smoking among PLWH. Participants included 3289 PLWH (83% male) who were recruited from five HIV clinics. As expected, the prevalence of smoking was higher among PLWH with chronic pain (41.9%), than PLWH without chronic pain (26.6%, p < .0001), and the prevalence of chronic pain was higher among current smokers (32.9%), than among former (23.6%) or never (17%) smokers (ps < .0001). PLWH who endorsed comorbid chronic pain and smoking (vs. nonsmokers without chronic pain) were more likely to report cocaine/crack and cannabis use, be prescribed long-term opioid therapy, and have virologic failure, even after controlling for relevant sociodemographic and substance-related variables (ps < .05). These results contribute to a growing empirical literature indicating that chronic pain and cigarette smoking frequently co-occur, and extend this work to a large sample of PLWH. Indeed, PLWH may benefit from interventions that are tailored to address bidirectional pain-smoking effects in the context of HIV.

High Genetic Addiction Risk Score (GARS) in Chronically Prescribed Severe Chronic Opioid Probands Attending Multi-pain Clinics: an Open Clinical Pilot Trial

Millions of Americans experience pain daily. In 2017, opioid overdose claimed 64,000 lives increasing to 84,000 lives in 2020, resulting in a decrease in national life expectancy. Chronic opioid use results in dependency, drug tolerance, neuroadaptation, hyperalgesia, potential addictive behaviors, or Reward Deficiency Syndrome (RDS) caused by a hypodopaminergia. Evaluation of pain clinic patients with the Genetic Addiction Risk Score (GARS) test and the Addiction Severity Index (ASI- Media Version V) revealed that GARS scores equal to or greater than 4 and 7 alleles significantly predicted drug and alcohol severity, respectively. We utilized RT-PCR for SNP genotyping and multiplex PCR/capillary electrophoresis for fragment analysis of the role of eleven alleles in a ten-reward gene panel, reflecting the activity of brain reward circuitry in 121 chronic opioid users. The study consisted of 55 males and 66 females averaging ages 54 and 53 years of age, respectively. The patients included Caucasians, African Americans, Hispanics, and Asians. Inclusion criteria mandated that the Morphine Milligram Equivalent (MME) was 30-600 mg/day (males) and 20 to 180 mg/day (females) for treatment of chronic pain over 12 months. Ninety-six percent carried four or more risk alleles, and 73% carried seven or more risk alleles, suggesting a high predictive risk for opioid and alcohol dependence, respectively. These data indicate that chronic, legally prescribed opioid users attending a pain clinic possess high genetic risk for drug and alcohol addiction. Early identification of genetic risk, using the GARS test upon entry to treatment, may prevent iatrogenic induced opioid dependence.

Pain intensity, e-cigarette dependence, and cessation-related outcomes: The moderating role of pain-related anxiety

Pain and nicotine dependence are prevalent, co-occurring conditions posited to interact in the manner of a positive feedback loop; however, most research to date has been conducted among tobacco cigarette smokers. Initial evidence suggests that pain is a risk factor for greater e-cigarette dependence, and additional research is needed to examine covariation between pain and e-cigarette use. There is reason to suspect that pain-related anxiety (i.e., the tendency to respond to pain with anxiety or fear) may be associated with greater e-cigarette dependence and difficulty quitting, and that pain intensity and pain-related anxiety may interact to confer greater risk for e-cigarette use. The current study represents the first examination of cross-sectional associations between pain intensity, pain-related anxiety, and e-cigarette dependence, motivation to quit, history of lifetime e-cigarette quit attempts, perceived barriers to cessation, and negative expectancies during abstinence from e-cigarettes. Participants (N = 520 e-cigarette users, 52.1% female, Mage = 34.85) completed an online survey assessing health behaviors. Results indicated that pain-related anxiety was positively associated with e-cigarette dependence and perceived barriers to cessation (ps < 0.05). Pain-related anxiety was found to moderate relations between pain intensity and primary outcomes, such that pain intensity was positively associated with motivation to quit, likelihood of past failed quit attempt, and negative abstinence expectancies among participants who endorsed high (but not moderate or low) levels of pain-related anxiety. Future research would benefit from examining prospective associations between pain-related anxiety, pain intensity, and e-cigarette use/cessation trajectories among individuals with chronic pain.

Rifampin Reduces the Plasma Concentrations of Oral and Intravenous Hydromorphone in Healthy Volunteers

Several opioids are metabolized by the inducible cytochrome P450 (CYP) 3A isozymes. Coadministration with strong inducers of drug metabolism, such as rifampin, can dramatically reduce systemic exposure to these opioids. As the CYP metabolism of hydromorphone is of minor importance, we studied in healthy volunteers whether hydromorphone would be an effective analgesic for patients who concomitantly receive the prototypical enzyme inducer rifampin.

Relationship of Edoxaban Plasma Concentration and Blood Coagulation in Healthy Volunteers Using Standard Laboratory Tests and Viscoelastic Analysis

The capability of viscoelastic measurement parameters to screen anticoagulation activity of edoxaban in relation to its plasma concentrations was evaluated in 15 healthy male volunteers. Blood samples were drawn before the oral administration of edoxaban 60 mg and 2, 4, 6, 8, and 24 hours after administration. At each time, standard coagulation tests were performed, blood viscoelastic properties were measured with a thromboelastometry device ROTEM delta analyzer (Instrumentation Laboratory, Werfen, Barcelona, Spain), and edoxaban plasma concentrations were measured. Our primary interest was the possible correlation between edoxaban plasma concentrations and values for ROTEM ExTEM, and FibTEM. We also studied the correlation of edoxaban plasma concentrations with the results of standard coagulation tests. We saw the effect of a single dose of edoxaban most clearly in clotting time (CT) of ROTEM ExTEM and FibTEM. Changes in these parameters correlated significantly with edoxaban plasma concentrations up to 6 hours from the ingestion of the drug. Activated partial thromboplastin time, prothrombin time, and anti-factor Xa were also affected. Peak changes were observed 2 and 4 hours after administration of edoxaban. The changes were mostly reversed after 8 hours. In conclusion, ROTEM CT correlates significantly with edoxaban plasma concentrations and can be used to estimate the effect of edoxaban. ROTEM should be considered as part of the assessment of coagulation, with the big advantage of being readily available on site.

Nicotine and Opioids: a Call for Co-treatment as the Standard of Care

The U.S. is in the midst of an opioid epidemic. At the same time, tobacco use remains the leading cause of preventable death and disability. While the shared biological underpinnings of nicotine and opioid addiction are well established, clinical implications for co-treatment of these two substance use disorders has not been emphasized in the literature, nor have researchers, clinicians, and policy makers adequately outlined pathways for incorporating co-treatment into existing clinical workflows. The current brief review characterizes the metabolic and neural mechanisms which mediate co-use of nicotine and opioids, and then outlines clinical and policy implications for concurrently addressing these two deadly epidemics. Screening, assessment, medication-assisted treatment (MAT), and tobacco-free policy are discussed. The evidence suggests that clinical care and policies that facilitate co-treatment are an expedient means of delivering healthcare to individuals that result in better health for the population while also meeting patients' substance abuse disorder recovery goals.

Smokers with pain are more likely to report use of e-cigarettes and other nicotine products

Pain and tobacco cigarette smoking frequently co-occur, and smokers report using cigarettes to self-medicate pain. Despite the growing popularity of e-cigarettes and alternative nicotine products, no research has examined their use as a function of pain status. The goal of this study was to test cross-sectional relations between the presence of pain and current use of e-cigarettes, lifetime polynicotine use, and lifetime use of individual nicotine products. The sample was comprised of current daily smokers (N = 301) who were recruited to participate in a web-based longitudinal study examining predictors of cessation milestones. Results indicated that smokers who endorsed past-2-week significant pain (vs. no past-2-week pain) were 3 times more likely to endorse current e-cigarette use, reported having used a greater number of nicotine products in their lifetime, and were nearly 3 times more likely to endorse lifetime polynicotine use. In terms of individual products, smokers with pain were approximately 4 times as likely to have tried e-cigarettes and 7 times more likely to have tried cigars. This is the first study to demonstrate that smokers who endorse significant pain are also more likely to endorse use of e-cigarettes and other combustible nicotine products. Future research is needed to examine polynicotine use in relation to pain reporting among more varied samples of smokers and nonsmokers. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Nicotine dependence and the International Association for the Study of Pain neuropathic pain grade in patients with chronic low back pain and radicular pain: is there an association?

Background

This study investigated whether current smoking and a higher nicotine dependency were associated with chronic low back pain (LBP), lumbar related leg pain (sciatica) and/or radicular neuropathic pain.

Methods

A cross-sectional study was conducted on 150 patients (mean age, 60.1 ± 13.1 yr). Demographic data, the International Association for the Study of Pain (IASP) neuropathic pain grade, STarT Back tool, and the Fagerström test were completed. A control group (n = 50) was recruited.

Results

There was a significant difference between current smokers and non-smokers in the chronic LBP group in the mean pain score (P = 0.025), total STarT Back score (P = 0.015), worst pain location (P = 0.020), most distal pain radiation (P = 0.042), and in the IASP neuropathic pain grade (P = 0.026). There was a significant difference in the mean Fagerström score between the four IASP neuropathic pain grades (P = 0.005). Current smoking yielded an odds ratio (OR) of 3.071 (P = 0.011) for developing chronic LBP and sciatica, and an OR of 4.028 (P = 0.002) for obtaining an IASP “definite/probable” neuropathic pain grade, for both cohorts. The likelihood for chronic LBP and sciatica increased by 40.9% (P = 0.007), while the likelihood for an IASP neuropathic grade of “definite/probable” increased by 50.8% (P = 0.002), for both cohorts, for every one unit increase in the Fagerström score.

Conclusions

A current smoking status and higher nicotine dependence increase the odds for chronic LBP, sciatica and radicular neuropathic pain.

High-dose prescribed opioids are associated with increased risk of heroin use among United States military veterans

Despite evidence linking increased risk of opioid use disorder with specific opioid-prescribing patterns, the relationship between these patterns and heroin use is less understood. This study aimed to determine whether dose and duration of opioid prescriptions predict subsequent heroin use in United States veterans. We analyzed data from 2002 to 2012 from the Veterans Aging Cohort Study, a prospective cohort study. We used inverse probability of censoring weighted Cox regression to examine the relationship between self-reported past year heroin use and 2 primary predictors: (1) prior receipt of a high-dose opioid prescription (≥90 mg morphine equivalent daily dose), and (2) prior receipt of a long-term opioid prescription (≥90 days). Heroin use was ascertained using most recent value of time-updated self-reported past year heroin use. Models were adjusted for HIV and hepatitis C virus infection status, sociodemographics, pain interference, posttraumatic stress disorder, depression, and use of marijuana, cocaine, methamphetamines, and unhealthy alcohol use. In the final model, prior receipt of a high-dose opioid prescription was associated with past year heroin use (adjusted hazard ratio use = 2.54, 95% confidence interval: 1.26-5.10), whereas long-term opioid receipt was not (adjusted hazard ratio = 1.09, 95% confidence interval: 0.75-1.57). Patients receiving high-dose opioid prescriptions should be monitored for heroin use. These findings support current national guidelines recommending against prescribing high-dose opioids for treating pain.

Pain self-efficacy, race, and motivation to quit smoking among persons living with HIV (PLWH)

Pain and cigarette smoking are commonly co-occurring and costly public health issues, and rates of both conditions are elevated among persons living with HIV (PLWH). Recent work has focused on elucidating the role of cognitive factors in pain-smoking interrelations, and PLWH have endorsed various beliefs regarding pain and smoking. There is reason to suspect that pain self-efficacy (i.e., belief in one's ability to cope with pain) may be associated with the maintenance of smoking. However, no previous research has examined relations between pain self-efficacy and motivation to quit. The goal of this study was to conduct the first test of cross-sectional associations between pain self-efficacy and motivation to quit smoking among PLWH. Race was tested as a moderator of the hypothesized associations. Participants (N = 76 daily smokers; 37% female; Mage = 50.6; MCPD = 13.7) were recruited from an outpatient infectious disease clinic for a primary study examining the effects of a personalized feedback intervention for PLWH. Results indicated that pain self-efficacy was positively associated with perceived importance of quitting and intention to quit within the next six months across the entire sample (ps < 0.05), and positively associated with readiness to consider smoking cessation and confidence in quitting among Black/African American participants (but not among other participants; ps < 0.05). These data provide initial evidence that pain self-efficacy may be related to motivation and intention to quit smoking, particularly among Black/African American PLWH. Future research should test prospective associations between pain self-efficacy and the initiation/maintenance of smoking cessation.

Opioid Misuse: An Organizational Response While Managing Cancer-Related Pain

BACKGROUND

Opioids are commonly prescribed to manage cancer pain. Similar to the general population, patients with cancer are not excluded from the risk for opioid misuse and dependence. This situation can contribute to clinician reluctance to prescribe and manage pain using opioids.

OBJECTIVES

The purpose of this article is to provide an overview of how opioid misuse may affect pain management in patients with cancer and to describe a comprehensive cancer center's approach to safely managing cancer pain.

METHODS

Based on a literature review, the project team developed a stewardship program. Project components included selecting a validated screening tool for risk of opioid misuse, determining if a history of addiction affects pain management in patients with cancer, and establishing a task force to focus on the opioid crisis and to follow the Joint Commission's revised pain assessment and management standards.

FINDINGS

The project established a hospitalwide opioid stewardship program. Through the use of a multidisciplinary, universal precautions approach to assessing misuse in all patients with cancer who are prescribed opioids, healthcare teams can potentially reduce risks associated with misuse while safely managing cancer pain.

Parallel modeling of pain and depression in prediction of relapse during buprenorphine and naloxone treatment: A finite mixture model

BACKGROUND

Relapse is common in treatment for opioid use disorders (OUDs). Pain and depression often co-occur during OUD treatment, yet little is known about how they influence relapse among patients with a primary diagnosis of prescription opioid use disorder (POUD). Advanced statistical analyses that can simultaneously model these two conditions may lead to targeted clinical interventions.

METHOD

The objective of this study was to utilize a discrete survival analysis with a growth mixture model to test time to prescription opioid relapse, predicted by parallel growth trajectories of depression and pain, in a clinical sample of patients in buprenorphine/naloxone treatment. The latent class analysis characterized heterogeneity with data collected from the National Institute of Drug Abuse Clinical Trials Network project (CTN-0030).

RESULTS

Results suggested that a 4-class solution was the most parsimonious based on global fit indices and clinical relevance. The 4 classes identified were: 1) low relapse, 2) high depression and moderate pain, 3) high pain, and 4) high relapse. Odds ratios for time-to-first use indicated no statistically significant difference in time to relapse between the high pain and the high depression classes, but all other classes differed significantly.

CONCLUSION

This is the first longitudinal study to characterize the influence of pain, depression, and relapse in patients receiving buprenorphine and naloxone treatment. These results emphasize the need to monitor the influence of pain and depression during stabilization on buprenorphine and naloxone. Future work may identify appropriate interventions that can be introduced to extend time-to-first prescription opioid use among patients.

Characterizing non-heroin opioid overdoses using electronic health records

INTRODUCTION

The opioid epidemic is a modern public health emergency. Common interventions to alleviate the opioid epidemic aim to discourage excessive prescription of opioids. However, these methods often take place over large municipal areas (state-level) and may fail to address the diversity that exists within each opioid case (individual-level). An intervention to combat the opioid epidemic that takes place at the individual-level would be preferable.

METHODS

This research leverages computational tools and methods to characterize the opioid epidemic at the individual-level using the electronic health record data from a large, academic medical center. To better understand the characteristics of patients with opioid use disorder (OUD) we leveraged a self-controlled analysis to compare the healthcare encounters before and after an individual's first overdose event recorded within the data. We further contrast these patients with matched, non-OUD controls to demonstrate the unique qualities of the OUD cohort.

RESULTS

Our research confirms that the rate of opioid overdoses in our hospital significantly increased between 2006 and 2015 (P < 0.001), at an average rate of 9% per year. We further found that the period just prior to the first overdose is marked by conditions of pain or malignancy, which may suggest that overdose stems from pharmaceutical opioids prescribed for these conditions.

CONCLUSIONS

Informatics-based methodologies, like those presented here, may play a role in better understanding those individuals who suffer from opioid dependency and overdose, and may lead to future research and interventions that could successfully prevent morbidity and mortality associated with this epidemic.

A Comparison of Short Forms of the Screener and Opioid Assessment for Patients With Pain – Revised (SOAPP-R)

Abstract. The Screener and Opioid Assessment for Patients with Pain – Revised (SOAPP-R) is a 24-item self-report questionnaire that assesses risk of aberrant medication-related behavior among chronic pain patients. Recently, an 8-item version of the SOAPP-R that weights items differentially was proposed. However, no previous study had compared the 8-item form with other short versions of the SOAPP-R, including a static 12-item short form and computer-based versions customizing the test length to the individual respondent. Moreover, no prior research had investigated combining the 8-item short form with customized computer-based stopping rules to further enhance efficiency. The objectives of this study were to compare the 8-item version with previously recommended short forms of the SOAPP-R, and to develop and evaluate a new version of the SOAPP-R combining the 8-item version with computer-based stopping rules. Versions were compared via sensitivity, specificity, and mean test length using real-data simulation of three datasets. Although results varied across datasets, the 8-item SOAPP-R compared favorably to previously recommended forms. Combining the 8-item form with computer-based stopping rules reduced the mean test length without affecting sensitivity or specificity; thus, the combined approach is recommended. The methodology used to shorten questionnaires via computer-based testing can also be applied to other instruments.

Urine Drug Testing in Cancer Pain Management

Urine drug test (UDT) is an effective tool used in chronic opioid therapy to ensure patient adherence to treatment and detect nonmedical opioid use. The two main types of UDT used in routine clinical practice are the screening tests or immunoassays and the confirmatory tests or laboratory-based specific drug identification tests such as gas chromatography-mass spectrometry, liquid chromatography-mass spectrometry, or tandem mass spectrometry. UDT produces objective data on some nonmedical opioid use that may otherwise go undetected, such as the use of undisclosed medications, the nonuse of prescribed medications, and the use of illegal drugs. It allows clinicians to initiate an open and effective conversation about nonmedical opioid use with their patients. However, the test has certain limitations that sometimes compromise its use. Its interpretation can be challenging to clinicians because of the complexity of the opioid metabolic pathways. Clear guidelines or recommendations regarding the use of UDT in cancer pain is limited. As a result, UDT appears to be underused among patients with cancer pain receiving opioid therapy. More studies are needed to help standardize the integration and use of UDT in routine cancer pain management. IMPLICATIONS FOR PRACTICE: Despite its potential benefits, urine drug testing (UDT) appears to be underused among patients with cancer pain receiving opioid therapy. This is partly because its interpretation can be challenging owing to the complexity of the opioid metabolic pathways. Information regarding the use of UDT in opioid therapy among patients with cancer is limited. This review article will improve clinician proficiency in UDT interpretation and assist oncologists in developing appropriate treatment plans during chronic opioid therapy.

Pack-years of tobacco cigarette smoking as a predictor of spontaneous pain reporting and experimental pain reactivity

The pack-years formula is a widely used estimate of lifetime tobacco smoking exposure, and greater pack-years have been associated with greater risk of chronic pain development and poorer pain-related outcomes among smokers with chronic pain. The pathophysiology underlying these associations is poorly understood. Regular tobacco smoking exposure may dysregulate homeostatic pain processes, producing an allostatic state of pain facilitation. Maladaptive pain mechanisms, such as central and peripheral sensitization, are chronic pain risk factors. Yet no published research has examined the relation between lifetime-smoking exposure and dysregulated pain processing. The current study used hierarchical linear regression analyses to test pack-years of tobacco smoking as a predictor of (a) pain reporting (current pain severity, pain frequency in the last 180 days) among a sample of 228 daily smokers without chronic pain, and (b) experimental capsaicin-induced pain reactivity (pain intensity, area of flare, mechanical pain sensitivity, and area of mechanical hyperalgesia) among 101 daily smokers without chronic pain. As hypothesized, results indicated that pack-years smoking was positively and significantly associated with current pain severity, past 180-day pain frequency, experimental pain intensity, mechanical pain sensitivity ratings, and area of mechanical hyperalgesia. Pack-years smoking was not significantly associated with neurogenic flare. These findings implicate central sensitization as a factor that may underlie the association between chronic tobacco smoking and increased risk for persistent pain. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Pain characteristics and nicotine deprivation as predictors of performance during a laboratory paradigm of smoking cessation

Although smokers with co-occurring pain report expectations for experiencing greater nicotine withdrawal and difficulty quitting, limited work has examined the role of pain in cessation-related outcomes. The goal of this study was to examine clinically relevant pain characteristics (pain persistence, pain intensity, pain-related disability) as predictors of withdrawal and smoking lapse/relapse outcomes using a laboratory paradigm of cessation. Participants (N = 120 daily cigarette smokers; 48% male; M_age = 36.17, SD = 12.16; M_{Cigarettes Per Day} = 20.51, SD = 6.99) were randomized to either nondeprived or 12-hr nicotine deprivation conditions prior to an experimental study visit. Upon arrival to the laboratory, participants completed measures of pain characteristics and nicotine withdrawal symptoms. Primary outcomes included nicotine withdrawal scores and analogues of smoking lapse (latency to initiating smoking) and relapse (number of cigarettes smoked). We hypothesized that smokers with greater pain persistence, pain intensity, and pain-related disability would endorse more severe nicotine withdrawal and greater lapse/relapse behavior, and that these positive associations would be stronger among those who were nicotine deprived. Results indicated that, above and beyond the effect of nicotine deprivation, persistent pain predicted more severe nicotine withdrawal, and that greater pain-related disability predicted quicker latency to lapse during the laboratory paradigm. Contrary to expectation, nicotine deprivation did not moderate effects of pain characteristics on withdrawal or lapse/relapse outcomes. Clinical implications include that different pain processes may influence different cessation outcomes, and that smokers in pain may benefit from the provision of pharmacological aids to better control withdrawal symptoms. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

Predicting opioid use disorder in patients with chronic pain who present to the emergency department

Background

Emergency department (ED) patients with chronic pain challenge providers to make quick and accurate assessments without an in-depth pain management consultation. Emergency physicians need reliable means to determine which patients may receive opioid therapy without exacerbating opioid use disorder (OUD).

Methods

Eighty-nine ED patients with a chief complaint of chronic pain were enrolled. Researchers administered questionnaires and reviewed medical and state prescription monitoring database information. Participants were classified as either OUD or non-OUD. Statistical analysis included a bivariate analysis comparing differences between groups and multivariate logistic regression evaluating ORs.

Results

The 45 participants categorised as OUD had a higher proportion of documented or reported psychiatric diagnoses (p=0.049), preference of opioid treatment (p=0.005), current oxycodone prescription (p=0.043), borrowed pain medicine (p=0.004) and non-authorised dose increase (p<0.001). The state prescription monitoring database revealed the OUD group to have an increased number of opioid prescriptions (p=0.005) and pills (p=0.010). Participants who borrowed pain medicine and engaged in non-authorised dose increase were 5.2 (p=0.025, 95% CI 1.24 to 21.9) and 6.1 times (p=0.001, 95% CI 1.55 to 24.1) more likely to have OUD, respectively.

Limitations

Major limitations of our study include a small sample size, self-reported measures and convenience sample which may introduce selection bias.

Conclusion

Patients with chronic pain with OUD have distinguishable characteristics. Emergency physicians should consider such evidence-based variables prior to opioid therapy to ameliorate the opioid crisis and limit implicit bias.

The Association Between Cannabis Use and Aberrant Behaviors During Chronic Opioid Therapy for Chronic Pain

Objective

Health care providers are likely to see an increase in the concomitant use of cannabis and opioids, particularly with the increased liberalization and ongoing research into the possible role of medical marijuana for chronic pain. Recent literature reports a prevalence of concurrent use ranging from 8.9% to 31.8%. The primary aim of this study was to determine the relationship between cannabis use and aberrant drug behaviors in noncancer pain patients receiving chronic opioid therapy.

Design

Retrospective chart review.

Setting

Community-based, interdisciplinary pain management center.

Subjects

Data from 209 patients who were evaluated for a medication management program between October 1, 2011, and January 1, 2014, and met inclusion criteria. Forty-four were positive for cannabis in their initial random urine drug toxicology.

Methods

Data from electronic health records, including demographics, urine drug toxicology, disability, opioid dose, opioid risk assessment data, and pain severity were analyzed to examine differences among cannabis users and noncannabis users.

Results

Subjects with cannabis in their initial urine drug toxicology were more likely to have a future occurrence of an opioid-related aberrancy (P < 0.001), be male (P = 0.047), have a history of substance abuse (P = 0.013), and be enrolled into a higher level of clinical monitoring of opioid medication use (P = 0.008). No other associations with demographic and clinical variables reached statistical significance.

Conclusions

Concurrent use of cannabis and opioids by patients with chronic pain appears to indicate higher risk for opioid misuse. Closer monitoring for opioid-related aberrancy is indicated for this group of patients.

Medical record-based ascertainment of behaviors suggestive of opioid misuse, diversion, abuse, and/or addiction among individuals showing evidence of doctor/pharmacy shopping

Objectives

Doctor/pharmacy shopping, the practice of seeking prescriptions from multiple healthcare sources without their coordination, may be a measure of prescription medicine abuse. This cross-sectional study examined the relationship between a claims-based doctor/pharmacy shopping definition and medical record documented behaviors suggestive of misuse, diversion, abuse and/or addiction.

Methods

Patients with ≥2 opioid dispensings starting in 2012 in a US administrative claims database were grouped into doctor/pharmacy shopping categories by number of providers and pharmacies used over 18 months: no shopping, minimal shopping, moderate shopping and severe shopping. Medical charts of opioid prescribers were reviewed to identify behaviors suggestive of misuse, diversion, abuse and/or addiction.

Results

Among 581,940 opioid users, 78% were classified as no shopping, 11% minimal shopping, 8% moderate shopping and 3% severe shopping. Almost 40% of severe shopping patients had no medical record documented behaviors (positive predictive value: 24.3%). Compared with no shopping, the odds ratio [OR] of ≥3 behaviors was 1.70 (95% confidence interval [CI] 0.50–5.78) for minimal shopping, 1.81 (95% CI 0.54–6.03) for moderate shopping, and 8.93 (95% CI 3.12–25.54) for severe shopping.

Conclusions

Claims-identified severe doctor/pharmacy shopping was strongly associated with behaviors suggestive of misuse, diversion, abuse and/or addiction, but the proportion of medical records documenting these was low.

The utility of a statewide prescription drug-monitoring database vs the Current Opioid Misuse Measure for identifying drug-aberrant behaviors in emergency department patients already on opioids

BACKGROUND

The most recent guidelines on prescribing opioids from the United States Centers for Disease Control recommend that clinicians not prescribe opioids as first-line therapy for chronic non-cancer pain. If an opioid prescription is considered for a patient already on opioids, prescribers are encouraged to check the statewide prescription drug monitoring database (PDMP). Some additional guidelines recommend screening tools such as the Current Opioid Misuse Measure (COMM) which may also help identify drug-aberrant behaviors.

OBJECTIVE

To compare the PDMP and the Current Opioid Misuse Measure (COMM), a commonly-recommended screening tool for patients on opioids, in detecting drug-aberrant behaviors in patients already taking opioids at the time of ED presentation.

METHODS

Patients on opioids were enrolled prospectively in a mixed urban-suburban ED seeing approximately 65,000 patients per year. The sensitivity, specificity, likelihood ratios, and diagnostic odds ratios of the PDMP and COMM were compared against objective criteria of drug-aberrant behaviors as documented in the electronic medical record (EMR) and medical examiner databases.

RESULTS

Compared to the COMM, the PDMP had similar sensitivity (36% vs 45%) and similar specificity (79% vs 55%), but better positive predictive value, better negative predictive value, and better diagnostic odds ratio. The combination of the PDMP and the COMM did not improve the detection of drug-aberrant behaviors.

CONCLUSIONS

The PDMP alone is a more useful as a screening instrument than either the COMM or the combination of the PDMP plus COMM in patients already taking opioids at time of ED presentation. However, the PDMP misses a majority of patients with documented drug-aberrant behaviors in the EMR, and should not be used in isolation to justify whether a particular opioid prescription is appropriate.

Screening Tools Validated in the Outpatient Pain Management Setting Poorly Predict Opioid Misuse in the Emergency Department: A Pilot Study

BACKGROUND

Currently, no universally accepted methods exist to assess drug-related aberrant behaviors in emergency department (ED) patients. There are several screening tools to identify opioid misuse in patients with chronic pain, however, the validity of these screening tools to assess for misuse within the ED remains unclear.

OBJECTIVES

This study investigated the effectiveness of three commonly used screening tools, previously validated in outpatient pain management settings, to assess risk of opioid misuse in ED patients.

METHODS

This was a prospective observational study of 154 participants (median age 50 years; 49.6% female) presenting to an academic ED for a chief complaint of pain ≥ 6 months or an opioid refill request. Participants completed the Opioid Risk Tool, the Screener and Opioid Assessment for Patients with Pain-Revised, and the Current Opioid Misuse Measure. Scores for each were compared with electronic medical record (EMR) data alone or a reference standard comprising EMR + statewide prescription drug monitoring program (PDMP) + medical examiner database.

RESULTS

Using the combined reference standard, 55.8% of participants displayed at least one aberrant behavior. Regardless of the reference standard, the test characteristics of these screening tools were modest at best, with likelihood ratios close to 1.

CONCLUSION

Three screening tools previously validated in outpatient pain management settings poorly categorized risk among ED patients with chronic noncancer pain or requests for opioid refills, and should not be used to assess drug-aberrant behaviors in the ED. Review of the EMR alone or together with the PDMP may be more useful methods to assess drug-aberrant behaviors in the ED setting.

Review of Factors, Methods, and Outcome Definition in Designing Opioid Abuse Predictive Models

Objective

Several opioid risk assessment tools are available to prescribers to evaluate opioid analgesic abuse among chronic patients. The objectives of this study are to 1) identify variables available in the literature to predict opioid abuse; 2) explore and compare methods (population, database, and analysis) used to develop statistical models that predict opioid abuse; and 3) understand how outcomes were defined in each statistical model predicting opioid abuse.

Design

The OVID database was searched for this study. The search was limited to articles written in English and published from January 1990 to April 2016. This search generated 1,409 articles. Only seven studies and nine models met our inclusion-exclusion criteria.

Results

We found nine models and identified 75 distinct variables. Three studies used administrative claims data, and four studies used electronic health record data. The majority, four out of seven articles (six out of nine models), were primarily dependent on the presence or absence of opioid abuse or dependence (ICD-9 diagnosis code) to define opioid abuse. However, two articles used a predefined list of opioid-related aberrant behaviors.

Conclusions

We identified variables used to predict opioid abuse from electronic health records and administrative data. Medication variables are the recurrent variables in the articles reviewed (33 variables). Age and gender are the most consistent demographic variables in predicting opioid abuse. Overall, there is similarity in the sampling method and inclusion/exclusion criteria (age, number of prescriptions, follow-up period, and data analysis methods). Intuitive research to utilize unstructured data may increase opioid abuse models' accuracy.

Opioid maintenance, weaning and detoxification techniques; where we have been, where we are now and what the future holds: an update

In 2017, the US Department of Health and Human Services declared a public health emergency on the opioid crisis. On average, 115 Americans die each day from an opioid overdose. The scope and breadth of this problem is continually evolving. In 2010, there was a shift in causes primarily due to the use of heroin, and currently the latest shift in opioid-related deaths involves a variety of synthetic opioids, particularly illicitly manufactured fentanyl. As the medical, sociological and political environments have drastically changed, especially in the USA, over the last 6 years with regard to opioid use and misuse, an updated review of the literature was necessary.

Effects of a brief pain and smoking cessation intervention in adults with chronic pain: A randomized controlled trial

Tobacco cigarette smokers with comorbid chronic pain experience greater difficulty quitting smoking relative to those without chronic pain. A brief smoking cessation intervention was developed to address smoking in the context of chronic pain to increase the intention to engage in smoking cessation treatment. The primary aim of this randomized controlled trial was to investigate the effects of a brief pain and smoking (BPS) cessation intervention on the willingness to consider quitting smoking in adults with chronic pain seeking treatment in a pain specialty outpatient clinic. Subjects randomized to the BPS intervention were 7.5 times more likely to endorse willingness to consider quitting smoking. Subjects who received the BPS intervention were also greater than 2.5 times more likely to report an interest in learning about cessation programs, and nearly 5 times more likely to endorse willingness to consider participating in an intensive smoking cessation program. Moreover, subjects who received the BPS intervention evinced a trend-level reduction in perceived difficulty of quitting smoking. These results contribute to a growing multidisciplinary literature examining pain-smoking interrelations and suggest that smokers with chronic pain may become more willing to consider engaging a cessation attempt as awareness increases about how continued smoking may interfere with the clinical outcomes of pain treatment. These results are also consistent with clinical practice guidelines for promoting intention to quit among smokers currently unwilling to engage a quit attempt by incorporating strategies aimed at identifying ambivalence about the continued use of tobacco.

Systematic review to determine which validated measurement tools can be used to assess risk of problematic analgesic use in patients with chronic pain

Background

Misuse of prescription opioids, and other drugs prescribed for chronic pain, has increased, with major concerns about harm. This review was undertaken to identify validated measurement tools for risk assessment and monitoring of chronic non-cancer pain patients being considered for, or currently prescribed, analgesic drugs with abuse potential.

Methods

Selected databases (Embase, Medline, Cochrane library/CENTRAL, PsycINFO, PubMed, CINAHL) were systematically searched for studies evaluating tools for risk of analgesic misuse, either before, or during, analgesic therapy for chronic pain, using predetermined inclusion/exclusion criteria. Two independent reviewers assessed abstracts, selected full texts, extracted data and assessed quality.

Results

30 studies from 1844 met inclusion criteria, including three systematic reviews, with an additional four studies from bibliography review. The studies covered 14 tools pertaining to opioid use, with none for non-opioid analgesics.

Conclusions

For predicting prescription opioid misuse, the pain medication questionnaire (PMQ) and the screener and opioid assessment for patients with pain (SOAPP) had the best evidence; both developed and validated in five separate studies (four each of acceptable quality). The current opioid misuse measure (COMM) performed best screening for current misuse, developed and validated in three studies of acceptable quality. A small number of tools may accurately predict, or identify, opioid misuse. There are none for non-opioid analgesics, where there is a potential need.

Problematic Prescription Opioid Use in a Chronic Pain Treatment Facility: The Role of Emotional Processes

BACKGROUND

Factors associated with prescription opioid misuse in a chronic pain treatment population are limited, and increasing our understanding of associated factors could lead to improved targeting of prevention and intervention efforts.

OBJECTIVE

The aim of this study was to evaluate factors associated with problematic prescription opioid use in patients with chronic pain, and whether assessing emotional processes - alexithymia, ambivalence over emotional expression (AEQ), and emotional approach coping - improves understanding of problematic prescription opioid use beyond traditional risk factors.

METHODS

Participants were 100 patients with chronic pain (mean age = 47.57 years, SD = 11.57; 53% female; 81% African American) who were receiving a self-administered opioid medication through a local pain clinic. We assessed traditional risk factors (substance use history, pain, psychiatric distress, and pain catastrophizing), the three emotional processes, and problematic prescription opioid-related outcomes.

RESULTS

Zero-order correlations revealed that alexithymia was significantly, positively related to problematic prescription opioid use behaviors (PDUQ), and AEQ was significantly positively related to both prescription opioid misuse behaviors and opioid use disorder symptoms. Multiple regressions that included traditional risk factors and the three emotional processes indicated that AEQ was a unique correlate of problematic opioid use behaviors (β=.27, p=.04) and prescription opioid-related symptoms of abuse and dependence (β=.37, p=.01); history of substance use disorders was also associated.

CONCLUSIONS

In addition to personal history of substance use problems, AEQ is a modifiable risk factor - and thus potential treatment target - for prescription opioid misuse and opioid use disorders.

Substance-related disorders: A review of prevalence and correlates among patients with chronic pain

Over the past few decades, research has revealed high rates of substance-related disorders among patients with chronic pain. In addition to their potentially deleterious health consequences, substance-related disorders have consistently been associated with negative pain-related outcomes among patients with chronic pain. The goal of this narrative review was to provide an overview of studies that have examined the prevalence and correlates of substance-related disorders among patients with chronic pain. A particular focus was placed on opioids, sedatives/hypnotics, cannabis, tobacco, and alcohol given that these substances have received the bulk of research attention among patients with pain. Research conducted to date suggests that a host of biological and psychological factors are likely to contribute to the elevated rates of substance-related disorders among patients with chronic pain. In this review, in addition to reviewing the prevalence and correlates of substance-related disorders among patients with pain, we briefly discussed the changes that were recently made from the DSM-4 to the DSM-5 in the diagnostic criteria for substance-related disorders, and the implications of these changes for the assessment of patients with chronic pain. We also provided a brief overview of instruments that can be used for the assessment of these disorders in clinical and research settings.

A Reciprocal Model of Pain and Substance Use: Transdiagnostic Considerations, Clinical Implications, and Future Directions

Pain and substance use are highly prevalent and co-occurring conditions that continue to garner increasing clinical and empirical interest. Although nicotine and tobacco, alcohol, and cannabis each confer acute analgesic effects, frequent or heavy use may contribute to the development and progression of chronic pain, and pain may be heightened during abstinence. Additionally, pain can be a potent motivator of substance self-administration, and it may contribute to escalating use and poorer substance-related treatment outcomes. We integrated converging lines of evidence to propose a reciprocal model in which pain and substance use are hypothesized to interact in the manner of a positive feedback loop, resulting in the exacerbation and maintenance of both conditions over time. Theoretical mechanisms in bidirectional pain-substance use relations are reviewed, including negative reinforcement, social cognitive processes, and allostatic load in overlapping neural circuitry. Finally, candidate transdiagnostic factors are identified, and we conclude with a discussion of clinical implications and future research directions.

Associations between Pain-Related Anxiety, Gender, and Prescription Opioid Misuse among Tobacco Smokers Living with HIV/AIDS

BACKGROUND

People living with HIV/AIDS (PLWHA) who smoke cigarettes are vulnerable to greater pain and aberrant use of prescription pain medications. Prescription opioid misuse is highly prevalent among PLWHA and can lead to a variety of adverse outcomes. Pain-related anxiety, which has been implicated in the maintenance of both pain and tobacco dependence, may also play a role in prescription pain medication misuse.

OBJECTIVES

This study aimed to test associations between pain-related anxiety and prescription opioid misuse. We hypothesized that, among those prescribed opioid medication, pain-related anxiety would be positively associated with current opioid misuse, and stated intentions to misuse prescription opioids in the future. We further hypothesized that these relations would be more pronounced among males (vs. females).

METHODS

Participants included 61 PLWHA daily tobacco smokers with pain. Hierarchical regressions were used to test interactions between gender and pain-related anxiety on current and intended opioid misuse among those prescribed opioid medications.

RESULTS

There was a significant interactive effect of pain-related anxiety and gender on opioid misuse, such that pain-related anxiety was positively associated with current opioid misuse among male (but not female) participants who were prescribed opioid medications. Among both males and females, pain-related anxiety was positively associated with intention to misuse prescription pain medications in the future. Conclusions/Importance: Additional research into the role of pain-related anxiety in prescription opioid misuse is warranted. This type of work may inform the development of tailored interventions for PLWHA smokers who are prescribed opioid pain medications.

Third-Year Medical Students' Reactions to Surgical Patients in Pain: Doubt, Distress, and Depersonalization

CONTEXT

Medical students have limited instruction about how to manage the interpersonal relationships required to care for patients in pain.

OBJECTIVES

The objective of this study was to characterize the experiences of medical students as they encounter pain, suffering, and the emotional experiences of doctoring.

METHODS

We used qualitative analysis to explore the content of 341 essays written by third-year medical students who described their experiences with surgical patients in pain. We used an inductive process to develop a coding taxonomy and then characterized the content of these essays related to empathy, patient-clinician interaction, and descriptions of clinical norms.

RESULTS

Students found it difficult to reconcile patient suffering with the therapeutic objective of treatment. They feared an empathic response to pain might compromise the fortitude and efficiency required to be a doctor and they pursued strategies to distance themselves from these feelings. Students described tension around prescription of pain medications and worried about the side effects of medications used to treat pain. Students felt disillusioned when operations caused suffering without therapeutic benefit or were associated with unexpected complications. Although patients had expressed a desire for intervention, students worried that the burdens of treatment and long-term consequences were beyond patient imagination.

CONCLUSION

These observations about patient-doctor relationships suggest that there is a larger problem among clinicians relating to patient distress and personal processing of the emotional nature of patient care. Efforts to address this problem will require explicit instruction in skills to develop a personal strategy for managing the emotionally challenging aspects of clinical work.