Characteristics of Pain Patients With Opioid-Use Disorder

Preexisting mental health disorders and risk of opioid use disorder in young people: A case-control study

AIM

Opioid use disorder (OUD) is a leading cause of preventable mortality amongst young people worldwide. Early identification and intervention of modifiable risk factors may reduce future OUD risk. The aim of this study was to explore whether the onset of OUD is associated with preexisting mental health conditions such as anxiety and depressive disorders in young people.

METHODS

A retrospective, population-based case-control study was conducted from 31 March 2018 until 01 January 2002. Provincial administrative health data were collected from Alberta, Canada.

CASES

Individuals 18-25 years on 01 April 2018, with a previous record of OUD.

CONTROLS

Individuals without OUD were matched to cases, on age/sex/index date. Conditional logistic regression analysis was used to control for additional covariates (e.g., alcohol-related disorders, psychotropic medications, opioid analgesics, and social/material deprivation).

RESULTS

We identified N = 1848 cases and N = 7392 matched controls. After adjustment, OUD was associated with the following preexisting mental health conditions: Anxiety disorders, aOR = 2.53 (95% CI = 2.16-2.96); depressive disorders, aOR = 2.20 (95% CI = 1.80-2.70); alcohol-related disorders, aOR = 6.08 (95% CI, 4.86-7.61); anxiety and depressive disorders, aOR = 1.94 (95% CI = 1.56-2.40); anxiety and alcohol-related disorders, aOR = 5.22 (95% CI = 4.03-6.77); depressive and alcohol-related disorders, aOR = 6.47 (95% CI = 4.73-8.84); anxiety, depressive and alcohol-related disorders, aOR = 6.09 (95% CI = 4.41-8.42).

DISCUSSION

Preexisting mental health conditions such as anxiety and depressive disorders are risk factors for future OUD in young people. Preexisting alcohol-related disorders showed the strongest association with future OUD and demonstrated an additive risk when concurrent with anxiety/depression. As not all plausible risk factors could be examined, more research is still needed.

Psychiatric comorbidity and order of condition onset among patients seeking treatment for chronic pain and opioid use disorder

BACKGROUND

The study objective was to compare psychiatric comorbidity among patients seeking treatment for chronic pain and opioid use disorder (OUD) by order of condition onset (i.e., "Pain First," "OUD First," "Same Time").

METHODS

Data from 170 patients entering two clinical trials of treatments for current comorbid chronic pain and OUD conducted between March 2009 and July 2013 were compared by order of condition onset. The Structured Clinical Interview for DSM-IV-TR Axis I Disorders and the Diagnostic Interview for DSM-IV Personality Disorders (Axis II) were performed by doctoral-level providers using a standardized training protocol. Age of onset group differences on specific diagnostic variables were examined using multinomial logistic regression.

RESULTS

Fifty-two percent were in the "Pain First" group (n = 89), 35 % in the "OUD First" group (n = 59), and 13 % in the "Same Time" group (n = 22). Compared with the Pain First group, the Same Time group was less likely to report heroin (vs. prescription opioids) as the primary drug used (OR = 0.20, 95 % CI = 0.06-0.72) or meet criteria for an Axis II disorder (OR = 0.24, 95 % CI = 0.07-0.83). Compared with the Pain First group, the OUD First group was more likely to meet criteria for a current nonopioid substance use disorder (OR = 3.20, 95 % CI = 1.22-8.40).

CONCLUSIONS

Our findings regarding differences in psychiatric comorbidity associated with order of condition onset indicate that varying pathways may exist for the emergence of chronic pain and OUD; further research should investigate potential treatment implications.

Anxiety sensitivity and pain intensity independently predict opioid misuse and dependence in chronic pain patients

The United States (US) population consumes an estimated 68% of the world's prescribed opioids each year, and over 2 million adults in the US suffer from an opioid use disorder. Although chronic pain populations are among the highest risk segments of the general population for opioid misuse and dependence, there is little understanding of individual risk characteristics that may contribute to greater risk for these outcomes among this group. The present investigation explored the concurrent role of anxiety sensitivity and pain intensity and their interaction in relation to opioid misuse and dependence among 429 adults with chronic pain (73.9% female, M_age = 38.32 years, SD = 11.07). Results revealed that both anxiety sensitivity and pain intensity were associated with opioid misuse and dependence. There was no evidence of an interaction for either outcome. Post-hoc analyses indicated that of the lower-order anxiety sensitivity facets, physical and mental incapacitation concerns contributed to variance in opioid misuse and only mental incapacitation concerns contributed to variance in opioid dependence. Overall, the current findings suggest the importance of assessing anxiety sensitivity in screening for opioid-related problems among persons with chronic pain, as it may represent a distinct pathway to poorer opioid-related outcomes among this group.

Impact of pain and nonpain co-morbidities on opioid use in women with endometriosis

Aim: To evaluate impact of co-morbidities on opioid use in endometriosis. Patients & m ethods: This was a retrospective analysis of data obtained from the Symphony Health database (July 2015-June 2018), which contains medical and pharmacy claims information on 79,947 women with endometriosis. Relative risk (RR) of postdiagnosis opioid use and supply duration associated with baseline co-morbidities were determined. Results: Women with endometriosis using opioids at baseline were 61% more likely to receive opioids postdiagnosis (RR: 1.61; 95% CI: 1.59-1.63). Risk of prolonged opioid supply postdiagnosis was highest for those with prolonged supply at baseline (RR: 21.14; 20.14-22.19), and was 1.32 (1.26-1.38) for patients with ≥1 co-morbidity, 1.37 (1.31-1.43) for pain co-morbidities and 1.07 (1.04-1.11) for psychiatric co-morbidities. Conclusion: Risk of opioid use after endometriosis diagnosis was greater in patients who used opioids before diagnosis. Risk of prolonged opioid use was greater if co-morbidities existed before diagnosis.

Iatrogenic opioid use disorder, chronic pain and psychiatric comorbidity: A systematic review

OBJECTIVE

A systematic review of the literature on the risks of developing iatrogenic opioid use disorders in chronic pain patients with psychiatric comorbidity.

METHODS

We conducted literature searches on Pubmed with key subjects: "chronic pain", "psychiatry", "opioids" and "opioid use disorder" and for original, English written articles published from 2000 until the first of September 2017. Final selection of the articles for review was made in a consensus between three reviewers.

RESULTS

Longitudinal studies showed a significant association between psychiatric comorbidity, especially depression and anxiety disorders and the development of problematic opioid use, more severe opioid craving and poor opioid treatment outcome (analgesia and side effects) in chronic pain patients. Cross-sectional studies showed a similar association between psychiatric disorders and problematic opioid use, where studies in specialized pain settings showed a higher prevalence of psychiatric disorders, compared to non-specialized settings.

CONCLUSIONS

This systematic review showed a significant association between psychiatric comorbidity, especially depression and anxiety disorders and the development of problematic opioid use in chronic pain patients. We therefore recommend psychiatric screening in chronic pain management. Chronic pain patients with comorbid psychiatric disorders need a multidisciplinary approach and monitoring opioid use is warranted in these patients.

Developmental Trajectories of Opioid Use Among Juvenile Offenders: An Epidemiological Examination of Group Characteristics and Criminological Risk Factors

AIMS

Investigate patterns of change and continuity in opioid use among juvenile offenders during adolescence and early adulthood. Identify demographic characteristics of trajectory groups of opioid users. Examine the relevance of risk factors for predicting assignment to opioid use trajectory groups.

METHODS

The Pathways to Desistance sample, consisting of longitudinal data of 1,134 juvenile offenders, was utilized in analyses. Using group-based trajectory modeling, patterns of opioid use were identified. χ² tests provide information about the significant differences in gender, race, and socioeconomic status composition among the subgroups. Multinomial logistic regression were estimated to identify the relevance of risk factors for predicting assignment to subgroups.

RESULTS

A four-group model best fit the opioid use data (Abstaining, Low Accelerating, High Accelerating, Desisting). Race significantly delineated group membership at the bivariate level. Risk factor analysis indicated that lower self-control assessed at baseline predicted elevated risk of assignment to the Low Accelerating and High Accelerating groups. Higher frequency of marijuana use at baseline and a lifetime history of having experienced victimization was associated with assignment to the Desisting group.

CONCLUSIONS

Chronic opioid use exists at elevated prevalence among juvenile offenders. Adolescents in the criminal justice system with low self-control should be targeted for intervention.

Emergency Department Patient Perspectives on the Risk of Addiction to Prescription Opioids

OBJECTIVE

To characterize emergency department (ED) patients' knowledge and beliefs about the addictive potential of opioids.

DESIGN

Mixed methods analysis of data from a randomized controlled trial.

SETTING

Urban academic ED (>88,000 visits).

SUBJECTS

One hundred and seventy four discharged ED patients prescribed hydrocodone-acetaminophen for acute pain.

METHODS

The study analyzed data collected from a randomized controlled trial investigating patients' knowledge of opioids. ED patients discharged with hydrocodone-acetaminophen completed an audio-recorded phone interview 4–7 days later. This analysis focuses on responses about addiction. Responses were categorized using content analysis; thematic analysis identified broad themes common across different categories.

RESULTS

Participants' mean age was 45.5 years (SD, 14.8), 58.6% female, 50.6% white, and the majority had an orthopedic diagnosis (24.1% back pain, 52.3% other injuries). Responses were categorized first based on whether the patient believed that opioids could be addictive (categorized as: yes, 58.7%; no, 19.5%; depends, 17.2%; or do not know, 4.6%), and second based on whether or not the patient discussed his/her own experience with the medication (categorized as: personalized, 35.6%; or not personalized, 64.4%). Cohen's Kappa was 0.84 for all categories. Three themes emerged in the thematic analysis: theme 1) patients expect to “feel” addicted if they are addicted, theme 2) patients fear addiction, and theme 3) side effects affected patient views of addiction.

CONCLUSION

In this sample, patients had misconceptions about opioid addiction. Some patients did not know opioids could be addictive, others underestimated their personal risk of addiction, and others overtly feared addiction and, therefore, risked inadequate pain management. Despite limited data, we recommend providers discuss opioid addiction with their patients.

Concomitant cannabis abuse/dependence in patients treated with opioids for non-cancer pain

BACKGROUND AND OBJECTIVES

Cannabis use is common among patients taking prescription opioids, although rates of concomitant cannabis use disorder (CUD) have been largely unexamined. CUD may increase safety risks in those taking opioid pain medications but it is unknown whether cannabis and opioids function as substitutes (cannabis use is associated with less prescription opioid use), or rather as complements (cannabis is associated with increased use of prescription opioids).

METHODS

We examined rates of CUD in a national sample of Veterans Health Administration (VHA) patients (n = 1,316,464) with non-cancer pain diagnoses receiving opioid medications in fiscal year 2012. Using bivariate analysis to identify potentially confounding variables associated with CUD (e.g., psychotropic medication, other substance use disorders) in this population, we then utilized logistic regression to examine rates of cannabis use disorder among individuals receiving different numbers of opioid prescriptions (0, 1-2, 3-10, 11-19, 20+).

RESULTS

Descriptive analysis, largely confirmed by logistic regression, demonstrated that greater numbers of prescription opioid fills were associated with greater likelihood of CUD. This relationship was reduced somewhat for those receiving the most opioid prescriptions (20+) in the logistic regression, which controlled for potentially confounding variables.

DISCUSSION AND CONCLUSIONS

These results warrant increased attention to CUDs among patients receiving numerous opioid prescriptions. Increasing legalization of cannabis is likely to further increase use and abuse of cannabis in patients prescribed opioids.

SCIENTIFIC SIGNIFICANCE

These findings suggest that clinicians should be alert to concomitant CUD and prescription opioid use, as these substances appear to complement each other.

Borderline personality disorder features and risk for prescription opioid use disorders

Although there is evidence for high comorbidity between borderline personality disorder (BPD) and substance use disorders, particularly alcohol use, more research is needed on the associations between BPD and prescription opioid use because of the increasing national problem of prescription opioid misuse. The purpose of the present study was to examine relationships between BPD features and prescription opioid use, risk for misuse, consequences, and dependence features, and to determine which aspects of BPD account for these associations. As predicted, BPD features were associated with greater quantity and frequency of opioid use, risk for pain medication misuse, consequences, and dependence features. Additional analyses indicated that most of these effects were accounted for by the self-harm/impulsivity component of BPD. The authors conclude that individuals with more pronounced BPD features may be at risk for use and dependence on prescription opioids, and that this association may be primarily associated with the impulsivity features of BPD.

Characteristics of medical inpatients with acute pain and suspected non-medical use of opioids

OBJECTIVE

The purpose of this study was to characterize medical inpatients with acute pain suspected of non-medical opioid use.

METHOD

Medical inpatients treated with opioids for acute pain referred for psychiatric consultation were administered questionnaires including the Screener and Opioid Assessment for Pain Patients (SOAPP) and the Hospital Misuse Checklist (HMC), developed for this study.

RESULTS

The nine subjects referred for evaluation of possible non-medical opioid use, compared to the 23 subjects referred for other reasons, were younger (37.7 vs. 51.3, t = 2.81, p = .012), more likely to score positive on the SOAPP (100% vs. 47.8%, Fisher's p < .05) and report lifetime histories of any substance use disorder (SUD) (88.9% vs. 30.4%, χ²  = 9.7, p = .002). No differences were found on items on the HMC.

CONCLUSIONS

The results of this preliminary study indicate that medical inpatients with suspected non-medical use of opioids resemble chronic pain outpatients misusing opioids. Further research is needed to better characterize this patient population and to validate the HMC measure.

Opioid addiction and abuse in primary care practice: a comparison of methadone and buprenorphine as treatment options

Opioid abuse and addiction have increased in frequency in the United States over the past 20 years. In 2009, an estimated 5.3 million persons used opioid medications nonmedically within the past month, 200000 used heroin, and approximately 9.6% of African Americans used an illicit drug. Racial and ethnic minorities experience disparities in availability and access to mental health care, including substance use disorders. Primary care practitioners are often called upon to differentiate between appropriate, medically indicated opioid use in pain management vs inappropriate abuse or addiction. Racial and ethnic minority populations tend to favor primary care treatment settings over specialty mental health settings. Recent therapeutic advances allow patients requiring specialized treatment for opioid abuse and addiction to be managed in primary care settings. The Drug Addiction Treatment Act of 2000 enables qualified physicians with readily available short-term training to treat opioid-dependent patients with buprenorphine in an office-based setting, potentially making primary care physicians active partners in the diagnosis and treatment of opioid use disorders. Methadone and buprenorphine are effective opioid replacement agents for maintenance and/or detoxification of opioid-addicted individuals. However, restrictive federal regulations and stigmatization of opioid addiction and treatment have limited the availability of methadone. The opioid partial agonist-antagonist buprenorphine/naloxone combination has proven an effective alternative. This article reviews the literature on differences between buprenorphine and methadone regarding availability, efficacy, safety, side-effects, and dosing, identifying resources for enhancing the effectiveness of medication-assisted recovery through coordination with behavioral/psychological counseling, embedded in the context of recovery-oriented systems of care.

Separate and combined psychopharmacological effects of alprazolam and oxycodone in healthy volunteers

BACKGROUND

There are epidemiological data indicating that medical and/or nonmedical use of prescription opioids oftentimes involves concurrent use of other substances. One of those substances is benzodiazepines. It would be of relevance to characterize the effects of an opioid and a benzodiazepine when taken together to determine if measures related to abuse liability-related effects and psychomotor performance impairment are increased compared to when the drugs are taken alone.

METHODS

Twenty volunteers participated in a crossover, randomized, double-blind study in which they received placebo, 0.5mg alprazolam, 10mg oxycodone, and 0.5mg alprazolam combined with 10 mg oxycodone, all p.o. Subjective, psychomotor, and physiological measures were assessed during each of the four sessions.

RESULTS

Oxycodone by itself increased drug liking and "take again" ratings relative to placebo, but these ratings were not increased when oxycodone was taken with alprazolam, which by itself did not increase either of these ratings. The two drugs in combination produced stronger effects (larger in magnitude or longer lasting) than when either was taken alone on a number of measures, including psychomotor performance impairment.

CONCLUSIONS

In healthy volunteers, abuse liability-related subjective effects of oxycodone were not enhanced by alprazolam. There was enhanced behavioral toxicity when the drugs were taken together, and thus, this is of significant concern from a public safety standpoint.

Screening for addictive disorders within a workers' compensation clinic: an exploratory study

We conducted a cross-sectional study investigating the extent of addictive disorders within a workers' compensation (WC) clinic. We also examined the feasibility of substance abuse screening within the same clinic. In 2009 , 100 patients were asked to complete the World Health Organization's Alcohol, Smoking, Substance Involvement Screening Test (WHO-ASSIST) and the Current Opioid Misuse Measure (COMM). According to the WHO-ASSIST, we found that 46% of WC patients required intervention for at least one substance-related disorder (25% tobacco, 23% sedatives, 8% opioids), and according to the COMM, 46% screened positive for prescription opioid misuse. Importantly, the addition of this screening was brief, economical, and well accepted by patients. Further research should analyze the costs and benefits of detection and intervention of substance-related disorders in this setting.

Opioid use, misuse, and abuse in patients labeled as fibromyalgia

BACKGROUND

As pain is the cardinal symptom of fibromyalgia, it is logical that treatments directed toward pain relief will be commonly used. Analgesic drug therapy remains the traditional treatment intervention for most chronic pain conditions, with a progressive increased use of opioids in the past 20 years. Concerns about efficacy, risk-benefit ratio, and possible long-term effects of chronic opioid therapy have been raised. There is limited information about opioid treatment in fibromyalgia, with all current guidelines discouraging opioid use.

METHODS

A chart review of all patients referred to a tertiary care pain center clinic with a referring diagnosis of fibromyalgia was conducted to evaluate use of opioid medications.

RESULTS

We have recorded opioid use by 32% of 457 patients referred to a multidisciplinary fibromyalgia clinic, with over two thirds using strong opioids. Opioid use was more commonly associated with lower education, unemployment, disability payments, current unstable psychiatric disorder, a history of substance abuse, and previous suicide attempts.

CONCLUSION

We have observed negative health and psychosocial status in patients using opioids and labeled as fibromyalgia. Prolonged use of opioids in fibromyalgia requires evaluation.

Patient characteristics associated with frequent calls to a headache specialty clinic

OBJECTIVE

To identify characteristics of patients who frequently initiate contact with a headache specialty clinic outside of scheduled appointments.

MATERIALS AND METHODS

We scanned records of all telephone calls received during 1 calendar year at an academic headache clinic to identify frequent callers. High-frequency (HF) callers were defined as established patients who initiated calls on ≥20 days during the year. We compared these patients with a cohort of established low-frequency (LF) callers who initiated no telephone calls during the same year. Clinic records were analyzed for demographic characteristics, diagnoses, and medication use. Additionally, we administered a questionnaire to clinic physicians and administrative staff querying their perception of each patient's demands on clinic resources.

RESULTS

High-frequency (n=26) and LF (n=18) callers did not differ significantly in marital status, ethnicity, diagnosis, or age. There was a trend toward female gender among HF callers and toward being outside of a body mass index range of 19 to 30 kg/m2. The groups were similar in their use of triptans and botulinum toxin treatments, but HF callers were more likely to be opioid users (96% vs 11.1%) and more likely to be taking multiple opioids in substantially higher potency, dosage, and quantity (154.4 mg vs 1.4 mg morphine equivalents/day). More than 80% of each group were migraineurs, but HF callers were more likely to have comorbid psychiatric disorders (P<0.05). High-frequency callers were also more likely to be rated by administrative staff and physicians as demanding and time-consuming.

CONCLUSIONS

In this university-based headache specialty clinic, HF callers were more likely to be opioid users on high morphine-equivalent doses. Compared with LF callers, HF callers placed a greater burden on health care resources as perceived by staff and physicians.