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Brief Report

Changes in Psychological Outcomes after Cessation of Full Mu Agonist Long-Term Opioid Therapy for Chronic Pain

1
The Focus on Opioid Transitions (FOOT Steps) Program, IPM Medical Group, Walnut Creek, CA 94598, USA
2
College of Nursing, University of Arizona, Tucson, AZ 85721, USA
3
Office of Institutional Research, Azusa Pacific University, Azusa, CA 91702, USA
4
College of Osteopathic Medicine, Touro University, Vallejo, CA 94592, USA
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2023, 12(4), 1354; https://doi.org/10.3390/jcm12041354
Submission received: 3 December 2022 / Revised: 20 January 2023 / Accepted: 2 February 2023 / Published: 8 February 2023
(This article belongs to the Special Issue Chronic Pain: Clinical Updates and Perspectives)

Abstract

:
Improved understanding of psychological features associated with full mu agonist long-term opioid therapy (LTOT) cessation may offer advantages for clinicians. This preliminary study presents changes in psychological outcomes in patients with chronic, non-cancer pain (CNCP) after LTOT cessation via a 10-week multidisciplinary program which included treatment with buprenorphine. Paired t-tests pre- and post-LTOT cessation were compared in this retrospective cohort review of data from electronic medical records of 98 patients who successfully ceased LTOT between the dates of October 2017 to December 2019. Indicators of quality of life, depression, catastrophizing, and fear avoidance, as measured by the 36-Item Short Form Survey, the Patient Health Questionnaire-9-Item Scale, the Pain Catastrophizing Scale, and the Fear Avoidance Belief Questionnaires revealed significant improvement. Scores did not significantly improve for daytime sleepiness, generalized anxiety, and kinesiophobia, as measured by the Epworth Sleepiness Scale, the Generalized Anxiety Disorder 7-Item Scale, and the Tampa Scale of Kinesiophobia. The results suggest that successful LTOT cessation may be interconnected with improvements in specific psychological states.

1. Introduction

The medical community was called to action by The Centers for Disease Control and Prevention (CDC) 2016 guidelines to decrease exposure to full mu agonist long-term opioid therapy (LTOT) for chronic, non-cancer pain (CNCP) in an effort to stem the resulting sequelae of the increasing incidence of opioid overdose [1]. Less severe, but still disturbing, adverse full mu agonist opioid medication effects are numerous and well documented, ranging from immediate (cognitive impairment, dry mucous membranes, slowed intestinal motility) [2] to long-term and insidious (hypogonadism [3], immune compromise [4], and hyperalgesia) [5,6]. Associations between opioid use and declining mood states have also been well documented, such as a decline in patient-perceived quality of life [7], and increased measures of depression [8,9,10,11], catastrophizing [10,12,13], fear avoidance [14], and anxiety [10,12,15,16]. However, unforeseen complications regarding efforts to reduce or discontinue opioid dosing within the patient population that utilizes LTOT are becoming apparent [17,18], with recent reports documenting associated overdose and suicide [19,20,21]. Improved understanding of psychological features associated with a cohort of patients who successfully ceased LTOT may offer useful directives for how to proceed effectively when LTOT cessation is desired.
One potential alternative to LTOT is buprenorphine. Buprenorphine is an opioid drug with partial mu agonist properties [22]. It can be a safer option than full mu agonist opioids for some patients [23,24], as the dangers of respiratory depression and overdose-related death associated with opioid use are thought to be conferred by full mu receptor agonism [24,25]. However, partial mu agonism, in the case of buprenorphine, confers potent analgesia [26,27,28,29].
The primary aim of this study was to identify changes between psychological assessment questionnaires, pre and post LTOT cessation, for patients with CNCP. We present findings from a retrospective analysis in a cohort of patients with CNCP who were successfully able to cease LTOT through participation in a group, multidisciplinary program [14,30] that offered therapeutic options that included buprenorphine. This study took place prior to reports of declining clinical outcomes after LTOT cessation, which notably did not include the option of buprenorphine in care planning [2,3,4,5,6]. Informed by multiple reports of declining mood with opioid initiation [8,9,10,11,12,13,14,15,16], the researchers hypothesized that LTOT cessation would result in improved mood outcomes.

2. Materials and Methods

2.1. Study Design

De-identified data were collected via a retrospective review of electronic medical records (EMR) from October 2017 to December 2019, comparing the pre- and post-psychological assessment questionnaire scores of 98 patients with CNCP who successfully ceased LTOT use through participation in a previously described, group multidisciplinary program [14,30]. Questionnaires were given to each patient at orientation and at graduation. Pre- and post-LTOT cessation scores were paired and used for analysis in this study.

2.2. Intervention

The multidisciplinary program [14,30,31] operated as a stand-alone intervention within a larger, multi-center, private practice specializing in CNCP in Northern California. Two centers and clinical teams participated in program administration under one medical director. Patients in the program met for approximately six hours once a week for ten weeks. The standardized curriculum entailed group cognitive behavioral therapy, group home exercise training utilizing complimentary care activities, and individualized medication management. Buprenorphine was offered to each patient as an alternative to LTOT. Extended panel urine drug screening was mandated at each meeting to corroborate participant compliance.

2.3. Participants

Study participants were comprised of the 98 successful graduates of a multidisciplinary LTOT cessation program that commenced between October of 2017 and December of 2019. A total of 109 patients started the program, and 11 either voluntarily left or were referred to a higher level of care due to high acuity comorbidities diagnosed after admittance. Program inclusion criteria were: adult-aged patients who voluntarily enrolled for the purpose of LTOT cessation due to lack of satisfaction with pain control, medication effects, and/or functional capacity while on LTOT. Participants were diagnosed with CNCP from any etiology; had used daily LTOT at the time of admission for a minimum of a year’s duration (although most reported much longer use), or struggled to maintain recent opioid cessation after prolonged use; had previously tried and failed or plateaued in regards to opioid weaning. Program recruitment, exclusion criteria, and criteria for referral have been described elsewhere [14,30,31]. Long-term opioid therapy was defined as any form of prescribed oral or transdermal long- or short-acting pharmaceutical opioid obtained while under the care of a physician. At admission, participants used LTOT amounts as high as 600 daily oral morphine milligram equivalents (MME) (median, 60 MME; 25% quartile, 36.5 MME; 75% quartile, 90 MME; interquartile range, 53.5 MME) [30].

2.4. Measures

Standardized psychological questionnaires were given to each patient at the program orientation meeting and again at the program graduation. Each questionnaire was previously and independently validated. Table 1 lists and describes the application of the Epworth Sleepiness Scale (ESS) [32], the 36-Item Short Form Survey (SF-36) [33], the Generalized Anxiety Disorder–7 Item Scale (GAD-7) [34], the Patient Health Questionnaire (PHQ) [35], the Fear Avoidance Belief Questionnaire-Physical Activity (FAB-PA) and Work (FAB-W) [36], the Tampa Kinesiophobia Scale (TSK) [37], the Pain Catastrophizing Scale (PCS) [38], and the Brief Pain Inventory-Pain Severity (BPI-Pain) and Impairment (BPI-Impairment) survey [39].
Of note, additional data were gathered throughout the program for the separate analyses of protective and hindering psychological and clinical features associated with LTOT cessation success, and these can be found in earlier publications [14,30].

2.5. Analysis

Descriptive statistics were derived from retrospective data found in the demographic section of the EMR for program graduates. Paired t-tests were used to compare dataset means from psychological questionnaires pre- and post-LTOT cessation. Prior to paired comparison, principal component analysis (PCA) was used to compare individual SF-36 subcategory results for the pre- and posttests. The SF-36 is typically reported as 8 individual scores—one for each category. However, since running multiple t-tests for all SF-36 subcategories might inflate the Type I error rate and result in false findings, dimension reduction was employed to minimize the number of variables to be tested. In PCA, data visualization techniques, including the loading plot [44,45] and the scree plot, were utilized in order to identify the proper number of principal components.

3. Results

3.1. Descriptive Statistics

The study began with 109 clinical program participants; 11 left the clinical program and were lost to the follow-up. Thus, 98 subjects (representing 90% of the program participants) remained under observation after the successful cessation of LTOT during the 10-week program [30] and were included in the present study. Of those who successfully graduated, 95 subjects (97%) chose to use buprenorphine as an LTOT cessation tool. Program participants were 27 to 88 years old; 69% were identified as female. A broad range of payer sources were noted: 30% Medicare, 25% industrial insurance, 10% Medicaid, 44% commercial insurance, and <1% no insurance.

3.2. Principal Component Analysis and Scree Plot for the SF-36

The reliability index, as measured by the standardized Cronbach’s alpha of the pretest of SF-36 is 0.8899, compared with 0.846 at the posttest, implying that the response patterns to these questions are internally consistent. In the loading plot, the axes of the plots are the principal components, while the variables are symbolized by vectors radiating from the center. Vectors pointing in the same direction, with a small angle between them, implies a positive and close relationship between the variables. Due to this characteristic, they could be loaded into the same component. Figure 1a indicates that all observed variables in the pretest of SF-36, as depicted by the vectors, pointed in the same direction and are close to each other. Figure 1b suggests that the observed items in the posttest of SF-36 could be classified into two groups, based on the clustering patterns.
In the scree plot (Figure 2a,b), the y-axis represents the eigenvalue, which is the sum of the squares of the loadings, whereas the x-axis denotes the number of potential components. Although the loading plot of the posttest indicates a 2-component model, both scree plots suggest that one single component is sufficient to yield the highest eigenvalue. Considering this finding, the average pretest and posttest scores of all SF-36 items were used for paired t-tests.

3.3. Paired t-Tests

Paired t-tests were used to compare dataset means from psychological questionnaires pre- and post-LTOT cessation (Table 2). As indicated in the table, six out of ten paired t-tests yielded a significant p-value (<0.0001). Because multiple t-tests were conducted, the Type 1 error rate might be inflated. The Bonferroni correction rectifies the situation by dividing the alpha level by the number of tests. In this case, the adjusted alpha level is 0.05/10 = 0.005. Nevertheless, because the p-value of all significant results is <0.0001, which is far lower than 0.005, the conclusion remains the same.
Data imputation was considered for this study for the inconsistent n value, but was ruled out because some participants deliberately chose to skip several questions or entire assessments. When data are missing due to inherent lack of randomness, it is impossible to account for systematic differences between the missing and the observed values based on the existing data, especially when the reference data are sparse. Further, when all or many responses in a group of questions are missing, multiple imputation will yield misleading results [46].

4. Discussion

4.1. Improved Psychological Assessment Scores Post-LTOT Cessation

This study found that the improvement between the pre- and post-cessation indicators of quality of life, depression, pain interference, catastrophizing, and fear avoidance (assessed via the SF-36, PHQ, BPI-Pain, BPI-Impairment, PCS, and FAB-PA, respectively) among subjects with CNCP who successfully ceased LTOT are significant at the level of p < 0.00l. These findings are consistent with those in previous studies examining mood changes affiliated with problematic opioid use, which have described an intercorrelation between such use and increased depression [8,9,10,11,47], fear avoidance [43], catastrophizing [10,12,13,38,48], and decreased quality of life [7] with increased states of pain [12,14,15,16,47,48,49,50,51,52,53,54,55,56,57,58,59,60]. Interpretation of the present findings must consider not only the impact of LTOT cessation, but also that of buprenorphine introduction and concurrent participation in a group multidisciplinary program, or even a potential synergy between these factors.
Most subjects utilized buprenorphine for LTOT cessation. Buprenorphine acts as a partial mu agonist and as an antagonist at the delta [26,55] and kappa [24,26,55] opioid receptors [26,57,58,59]. These receptor dynamics have been theorized to confer anxiolytic [56] and anti-depressive effects [50,58,59,60,61,62,63,64] in opioid-dependent [56] and opioid-naïve [47,55,58,60] patients and to improve patient-reported scores regarding quality of life [28,50]. Perhaps the addition of buprenorphine can explain, at least in part, the discrepancy between the participants’ mood improvements compared with recent studies documenting clinical deterioration with LTOT cessation [19,20,21]. This dynamic would be an interesting area of future study.
The effects of both partial and full mu agonist opioid exposure on quality of life have been previously studied. One study showed that full mu agonist opioid exposure lowered the SF-36 score initially, but no difference was found between patients with CNCP exposed to opioids vs. not exposed after 4 years duration [7]. Another reported that opioid-naïve patients exhibited improvements in SF-36 scores after 8 weeks of daily treatment with buprenorphine for the indication of treatment-resistant depression [50]. Similarly, a different study found that switching from LTOT to sublingual buprenorphine for at least 60 days resulted in improved quality of life scales, as measured using the QOLS [28]. Longer term follow-up studies would be helpful to better understand the relationship between LTOT, buprenorphine, and quality of life.
In the current dataset, the post-LTOT cessation depression scores (assessed via the PHQ) show a mean improvement from moderately severe to moderate depression, which trends consistently with the results in previous publications. The link between depression and problematic full mu agonist opioid use has been previously documented from a variety of angles. Higher depression scores have been correlated with opioid misuse in CNCP patients with no prior substance use disorder [10]. Depression has also been identified as a risk factor for prolonged post-surgical opioid use [11]. Similarly, researchers have found that opioid use is a risk factor for depression, independent of pain [8,9]. Buprenorphine’s effect on depression has also been studied in patients with and without concurrent opioid use disorder and was shown to provide marked improvement in suicidal ideation and treatment-resistant depression after administration [47,58]. Similarly, in a meta-analysis conducted by Serafini et al., 13 studies concluded that buprenorphine alone, or in co-administration with other opioid antagonists, may significantly reduce depression [59]. The current data, supported by previous studies, strongly suggest that depression is an important target for assessment and therapy in the pursuit of LTOT cessation.
Previous reports regarding the PCS and FAB are nuanced. For the PCS, it is interesting to note that a score of 30 or higher was initially validated as clinically relevant [38,42]. However, lower scores have been documented to be associated with the chronicity of prolonged recovery and delayed return to work [45]. Therefore, the substantial improvement in the PCS score with LTOT cessation seen in this study can be argued to be clinically significant, despite being below 30 on the pretest, especially considering the scale of the improvement. Targeted psychosocial therapy to improve catastrophizing has been shown to significantly aid in returning to work after a period of disability [48]. Current results suggest that addressing catastrophizing may be an avenue worthy of future study for promoting LTOT cessation for patients with CNCP.
The optimal cut off for determining significant FAB scores has been studied in several contexts and varies respectively [36,40,61,62,63,64]. Higher FAB scores have been correlated with an increased probability of current and future work loss and disability [36,65,66], as well as social withdrawal [67] and increased LTOT reliance [14]. FAB analysis may also help determine which clinical interventions have an increased probability of a successful outcome to decrease patient-reported disability and pain [36,68,69]. Of note, some of the utility of the FAB, when correlated in these specific ways, has been validated only in industrially insured patients [69], and the FAB-W has been validated for currently—or recently—working patients [36,68,70]. Thus, the present FAB results are difficult to analyze based on previous validations, as the current study did not exclude participants who identified as disabled or retired, nor did it control for insurance payer type.
The BPI scores warrant notice in that their improvement implies a general lack of suffering among the participants, despite LTOT cessation.

4.2. Psychological Assessment Scores Lacking Significant Improvement Post-LTOT Cessation

Equally interesting is the lack of association seen between LTOT cessation and daytime sleepiness, generalized anxiety, and kinesiophobia (assessed via the ESS, GAD, and TSK, respectively). Nighttime sleep disturbance and daytime impaired cognition are common anecdotal complaints among patients on LTOT. Disturbed sleep architecture and increased obstructive and central sleep apnea have long been recognized as side effects of chronic opioid use [70,71]. Thus, it was surprising that LTOT cessation did not pair with improved daytime sleepiness. However, this outcome is consistent with previous studies documenting that sleep disturbance does not necessarily correlate with daytime sleepiness, as measured by the ESS, in chronic opioid users [70,71,72].
The improvement in anxiety (assessed via the GAD) between pre- and post-LTOT cessation was not significant. Previous studies have suggested that a self-medication model has been implicated in inciting, or exacerbating, opioid use disorder for patients with clinically significant anxiety [12,16,51], and higher anxiety scores have also been implicated in the increased length of post-operative opioid analgesic use [10]. Moreover, studies have found buprenorphine administration to be correlated with improvement in anxiety [47,56]. The relationship between anxiety and LTOT reliance warrants increased study to help reconcile present and previous findings.
Kinesiophobia (TSK) scores did not follow the significant improvement trajectory of the PCS and FAB- PA. These tools are often grouped together in the category of anxiety, or fear-based, belief and behavior assessments. However, previous investigation into their interchangeability has failed to show cross-over reliability [73]. Of note is the fact that many participants chose not to complete the TSK, for unknown reasons, and it was by far the most neglected of the tests by the participants, with an “n” of 34. Perhaps the smaller number of datasets affected the significance of this outcome.

4.3. Contribution to the Field

The present findings help to identify psychological improvements associated with successful LTOT cessation. While this study does not prove whether the intervention of the medication changes improved the mood outcomes, or whether the multidisciplinary program promoted a foundation of mood change that allowed for LTOT cessation, it is clear that specific mood improvements were associated with LTOT cessation. With further study, this dynamic may eventually suggest inroads to safer and more optimal treatments in the field of CNCP. Just as previous studies have shown that addressing high fear avoidance and catastrophizing beliefs improved disability measures [48,74], the current findings could provide the foundation to target specific psychological states for education and multidisciplinary support to aid in successful LTOT cessation in future trials.

4.4. Study Limitations

Studies that increase understanding of the clinical features that promote LTOT cessation are timely, yet scant, thus making the present findings relevant, despite the following design limitations: the data for this study were gathered retrospectively from a moderately-sized treatment cohort of non-randomized, non-blinded patients, who were treated in a private practice setting, and demographic subject data is limited. The lack of a long-term follow-up of mood status is also a limitation, and this follow-up would be especially interesting here, as an affiliated study showed prolonged cessation of LTOT in the current group [30].

5. Conclusions

This study found that improvements in indicators of quality of life, depression, pain interference, catastrophizing, and fear avoidance are associated with successful LTOT cessation in patients with chronic, non-cancer pain who participated in a multidisciplinary opioid cessation program that offered buprenorphine as a substitution. Further research is required to confirm the nature of this relationship. A better understanding of these potentially interdependent clinical phenomena may eventually help clarify and improve interventions for the cessation of LTOT in patients with CNCP.

Author Contributions

Conceptualization, M.J.S.; methodology, M.J.S., Z.C. and C.H.A.Y.; software, M.J.S., Z.C. and C.H.A.Y.; validation, C.H.A.Y.; formal analysis, M.J.S. and C.H.A.Y.; investigation, M.J.S. and Z.C.; resources, M.J.S., Z.C. and J.H.; data curation, M.J.S., Z.C. and C.H.A.Y.; writing—original draft preparation, M.J.S. and J.H.; writing—review and editing, M.J.S., Z.C., C.H.A.Y. and J.H.; visualization, M.J.S. and C.H.A.Y.; supervision, M.J.S.; project administration, M.J.S. All authors have read and agreed to the published version of the manuscript.

Funding

The researchers analyzed data through the course of routine, clinical, program-related quality assurance measures while under the employ of the IPM Medical Group. This research received no external funding.

Institutional Review Board Statement

This study was reviewed by Solutions IRB and was determined to be exempt from full review, according to 45CFR46.104(d)(4): (4) Secondary Research Uses of Data or Specimens, on 17 March 2020.

Informed Consent Statement

The IRB declared that consent was not required for this retrospective review of de-identified data or for publication of that data. However, participants were apprised of the nature of the intended use of their anonymous data, and provided consent at the time of data collection.

Data Availability Statement

The de-identified data can be retrieved from the authors, upon request.

Acknowledgments

The authors thank Jessica Goza, NP; Kelly Rumrill, NP; Tatiana Hernandez, CCA; and Julie Ginsburg, LAc, for their teamwork and assistance, as well as William George, Jr., for his encouragement.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Dowell, D.; Haegerich, T.M.; Chou, R. CDC Guideline for Prescribing Opioids for Chronic Pain—United States. MMWR Recomm. Rep. 2016, 65, 1–49. [Google Scholar] [CrossRef] [PubMed]
  2. National Institute on Drug Abuse. Prescription Opioids DrugFacts. Available online: https://www.drugabuse.gov/publications/drugfacts/prescription-opioids (accessed on 19 October 2020).
  3. Antony, T.; Alzaharani, S.Y.; El-Ghaiesh, S.H. Opioid-induced hypogonadism: Pathophysiology, clinical and therapeutics review. Clin. Exp. Pharmacol. Physiol. 2020, 47, 741–750. [Google Scholar] [CrossRef] [PubMed]
  4. Eisenstein, T.K.; Rogers, T.J. Drugs of Abuse. In Neuroimmune Pharmacology; Ikezu, T., Gendelman, H.E., Eds.; Springer International Publishing: Cham, Switzerland, 2017; pp. 661–678. ISBN 978-3-319-44022-4. [Google Scholar]
  5. Chu, L.F.; Angst, M.S.; Clark, D. Opioid-induced hyperalgesia in humans: Molecular mechanisms and clinical considerations. Clin. J. Pain 2008, 24, 479–496. [Google Scholar] [CrossRef] [PubMed]
  6. Lee, M.; Silverman, S.M.; Hansen, H.; Patel, V.B.; Manchikanti, L. A comprehensive review of opioid-induced hyperalgesia. Pain Physician 2011, 14, 145–161. [Google Scholar] [CrossRef]
  7. Radcliff, K.; Freedman, M.; Hilibrand, A.; Isaac, R.; Lurie, J.D.; Zhao, W.; Vaccaro, A.; Albert, T.; Weinstein, J. Does Opioid Pain Medication Use Affect the Outcome of Patients with Lumbar Disk Herniation? Spine 2013, 38, E849–E860. [Google Scholar] [CrossRef]
  8. Scherrer, J.F.; Ahmedani, B.; Autio, K.; Debar, L.; Lustman, P.J.; Miller-Matero, L.R.; Salas, J.; Secrest, S.; Sullivan, M.D.; Wilson, L.; et al. The Prescription Opioids and Depression Pathways Cohort Study. J. Psychiatr. Brain Sci. 2020, 5, e200009. [Google Scholar] [CrossRef]
  9. Scherrer, J.F.; Salas, J.; Schneider, F.D.; Bucholz, K.K.; Sullivan, M.D.; Copeland, L.A.; Ahmedani, B.K.; Burroughs, T.; Lustman, P.J. Characteristics of new depression diagnoses in patients with and without prior chronic opioid use. J. Affect. Disord. 2017, 210, 125–129. [Google Scholar] [CrossRef]
  10. Helmerhorst, G.T.T.; Vranceanu, A.-M.; Vrahas, M.; Smith, M.; Ring, D. Risk Factors for Continued Opioid Use One to Two Months After Surgery for Musculoskeletal Trauma. JBJS 2014, 96, 495–499. [Google Scholar] [CrossRef]
  11. Grattan, A.; Sullivan, M.D.; Saunders, K.W.; Campbell, C.I.; Von Korff, M.R. Depression and Prescription Opioid Misuse among Chronic Opioid Therapy Recipients with No History of Substance Abuse. Ann. Fam. Med. 2012, 10, 304–311. [Google Scholar] [CrossRef]
  12. Arteta, J.; Cobos, B.; Hu, Y.; Jordan, K.; Howard, K. Evaluation of How Depression and Anxiety Mediate the Relationship between Pain Catastrophizing and Prescription Opioid Misuse in a Chronic Pain Population. Pain Med. 2016, 17, 295–303. [Google Scholar] [CrossRef] [Green Version]
  13. Martel, M.O.; Jamison, R.N.; Wasan, A.D.; Edwards, R.R. The Association Between Catastrophizing and Craving in Patients with Chronic Pain Prescribed Opioid Therapy: A Preliminary Analysis. Pain Med. 2014, 15, 1757–1764. [Google Scholar] [CrossRef]
  14. Silva, M.J.; Coffee, Z.; Yu, C.H.A.; Martel, M.O. Anxiety and Fear Avoidance Beliefs and Behavior May Be Significant Risk Factors for Chronic Opioid Analgesic Therapy Reliance for Patients with Chronic Pain—Results from a Preliminary Study. Pain Med. 2021, 22, 2106–2116. [Google Scholar] [CrossRef]
  15. Martins, S.S.; Fenton, M.C.; Keyes, K.M.; Blanco, C.; Zhu, H.; Storr, C.L. Mood/Anxiety disorders and their association with non-medical prescription opioid use and prescription opioid use disorder: Longitudinal evidence from the National Epidemiologic Study on Alcohol and Related Conditions. Psychol. Med. 2012, 42, 1261–1272. [Google Scholar] [CrossRef]
  16. Gros, D.F.; Milanak, M.E.; Brady, K.T.; Back, S.E. Frequency and Severity of Comorbid Mood and Anxiety Disorders in Prescription Opioid Dependence. Am. J. Addict. 2013, 22, 261–265. [Google Scholar] [CrossRef]
  17. Manhapra, A.; Sullivan, M.D.; Ballantyne, J.C.; MacLean, R.R.; Becker, W.C. Complex Persistent Opioid Dependence with Long-term Opioids: A Gray Area That Needs Definition, Better Understanding, Treatment Guidance, and Policy Changes. J. Gen. Intern. Med. 2020, 35, 964–971. [Google Scholar] [CrossRef]
  18. Process for Updating the Opioid Prescribing Guideline|CDC’s Response to the Opioid Overdose Epidemic|CDC. Available online: https://www.cdc.gov/opioids/guideline-update/index.html (accessed on 25 February 2022).
  19. Oliva, E.M.; Bowe, T.; Manhapra, A.; Kertesz, S.; Hah, J.M.; Henderson, P.; Robinson, A.; Paik, M.; Sandbrink, F.; Gordon, A.J.; et al. Associations between stopping prescriptions for opioids, length of opioid treatment, and overdose or suicide deaths in US veterans: Observational evaluation. BMJ 2020, 368, m283. [Google Scholar] [CrossRef]
  20. James, J.R.; Scott, J.M.; Klein, J.W.; Jackson, S.; McKinney, C.; Novack, M.; Chew, L.; Merrill, J.O. Mortality After Discontinuation of Primary Care–Based Chronic Opioid Therapy for Pain: A Retrospective Cohort Study. J. Gen. Intern. Med. 2019, 34, 2749–2755. [Google Scholar] [CrossRef]
  21. Mark, T.L.; Parish, W. Opioid medication discontinuation and risk of adverse opioid-related health care events. J. Subst. Abuse Treat. 2019, 103, 58–63. [Google Scholar] [CrossRef]
  22. Lutfy, K.; Cowan, A. Buprenorphine: A Unique Drug with Complex Pharmacology. Curr. Neuropharmacol. 2004, 2, 395–402. [Google Scholar] [CrossRef]
  23. Dahan, A.; Yassen, A.; Romberg, R.; Sarton, E.; Teppema, L.; Olofsen, E.; Danhof, M. Buprenorphine induces ceiling in respiratory depression but not in analgesia. Br. J. Anaesth. 2006, 96, 627–632. [Google Scholar] [CrossRef] [Green Version]
  24. Walsh, S.L.; Preston, K.L.; Stitzer, M.L.; Cone, E.J.; Bigelow, G.E. Clinical pharmacology of buprenorphine: Ceiling effects at high doses. Clin. Pharmacol. Ther. 1994, 55, 569–580. [Google Scholar] [CrossRef] [PubMed]
  25. Oral-MME-CFs-vFeb-2018.pdf. Available online: https://www.cms.gov/Medicare/Prescription-Drug-Coverage/PrescriptionDrugCovContra/Downloads/Oral-MME-CFs-vFeb-2018.pdf (accessed on 8 May 2020).
  26. Gudin, J. A Narrative Pharmacological Review of Buprenorphine: A Unique Opioid for the Treatment of Chronic Pain. Pain Ther. 2020, 9, 41–54. [Google Scholar] [CrossRef]
  27. Silva, M.J.; Rubinstein, A. Continuous Perioperative Sublingual Buprenorphine. J. Pain Palliat. Care Pharmacother. 2016, 30, 289–293. [Google Scholar] [CrossRef] [PubMed]
  28. Daitch, D.; Daitch, J.; Novinson, M.D.; Frey, M.; Mitnick, A.C.; Pergolizzi, J.J. Conversion from High-Dose Full-Opioid Agonists to Sublingual Buprenorphine Reduces Pain Scores and Improves Quality of Life for Chronic Pain Patients. Pain Med. 2014, 15, 2087–2094. [Google Scholar] [CrossRef] [PubMed]
  29. Karlsson, M.; Berggren, A.-C. Efficacy and safety of low-dose transdermal buprenorphine patches (5, 10, and 20 microg/h) versus prolonged-release tramadol tablets (75, 100, 150, and 200 mg) in patients with chronic osteoarthritis pain: A 12-week, randomized, open-label, controlled, parallel-group noninferiority study. Clin. Ther. 2009, 31, 503–513. [Google Scholar]
  30. Silva, M.J.; Coffee, Z.; Yu, C.H. Prolonged Cessation of Chronic Opioid Analgesic Therapy: A Multidisciplinary Intervention. Am. J. Manag. Care 2022, 28, 60–65. [Google Scholar]
  31. Silva, M.J.; Coffee, Z.; Goza, J.; Rumrill, K. Microinduction to Buprenorphine from Methadone for Chronic Pain: Outpatient Protocol with Case Examples. J. Pain Palliat. Care Pharmacother. 2022, 36, 40–48. [Google Scholar] [CrossRef]
  32. Johns, M.W. A new method for measuring daytime sleepiness: The Epworth sleepiness scale. Sleep 1991, 14, 540–545. [Google Scholar] [CrossRef]
  33. Ware, J.E.; Sherbourne, C.D. The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Med. Care 1992, 30, 473–483. [Google Scholar] [CrossRef]
  34. Spitzer, R.L.; Kroenke, K.; Williams, J.B.W.; Löwe, B. A brief measure for assessing generalized anxiety disorder: The GAD-7. Arch. Intern. Med. 2006, 166, 1092–1097. [Google Scholar] [CrossRef]
  35. Kroenke, K.; Spitzer, R.L.; Williams, J.B.W. The PHQ-9: Validity of a brief depression severity measure. J. Gen. Intern. Med. 2001, 16, 606–613. [Google Scholar] [CrossRef]
  36. Waddell, G.; Newton, M.; Henderson, I.; Somerville, D.; Main, C.J. A Fear-Avoidance Beliefs Questionnaire (FABQ) and the role of fear-avoidance beliefs in chronic low back pain and disability. Pain 1993, 52, 157–168. [Google Scholar] [CrossRef]
  37. Miller, R.P.; Kori, S.H.; Todd, D.D. The Tampa Scale: A Measure of Kinesiophobia. Clin. J. Pain 1991, 7, 51. [Google Scholar] [CrossRef]
  38. Sullivan, M.J.L.; Bishop, S.R.; Pivik, J. The Pain Catastrophizing Scale: Development and Validation. Psychol. Assess. 1995, 7, 524–532. [Google Scholar] [CrossRef]
  39. BPI_UserGuide.pdf. Available online: https://www.mdanderson.org/documents/Departments-and-Divisions/Symptom-Research/BPI_UserGuide.pdf (accessed on 8 October 2020).
  40. George, S.Z.; Fritz, J.M.; Erhard, R.E. A comparison of fear-avoidance beliefs in patients with lumbar spine pain and cervical spine pain. Spine 2001, 26, 2139–2145. [Google Scholar] [CrossRef]
  41. Adams, H.; Ellis, T.; Stanish, W.D.; Sullivan, M.J.L. Psychosocial factors related to return to work following rehabilitation of whiplash injuries. J. Occup. Rehabil. 2007, 17, 305–315. [Google Scholar] [CrossRef]
  42. PCSManual_English.pdf. Available online: http://sullivan-painresearch.mcgill.ca/pdf/pcs/PCSManual_English.pdf (accessed on 8 May 2020).
  43. Cleeland, C.S.; Ryan, K.M. Pain assessment: Global use of the Brief Pain Inventory. Ann. Acad. Med. Singap. 1994, 23, 129–138. [Google Scholar]
  44. Jacoby, W.G. Statistical Graphics for Visualizing Multivariate Data; Sage Publications: Thousand Oaks, CA, USA, 1998. [Google Scholar]
  45. Yan, W.; Kang, M. GGE Biplot Analysis; CRC Press: Boca Raton, FL, USA, 2003. [Google Scholar]
  46. Sterne, J.A.C.; White, I.R.; Carlin, J.B.; Spratt, M.; Royston, P.; Kenward, M.G.; Wood, A.M.; Carpenter, J.R. Multiple imputation for missing data in epidemiological and clinical research: Potential and pitfalls. BMJ 2009, 338, b2393. [Google Scholar] [CrossRef]
  47. Karp, J.F.; Butters, M.A.; Begley, A.; Miller, M.D.; Lenze, E.J.; Blumberger, D.; Mulsant, B.; Reynolds, C.F. Safety, Tolerability, and Clinical Effect of Low-Dose Buprenorphine for Treatment-Resistant Depression in Mid-Life and Older Adults. J. Clin. Psychiatry 2014, 75, e785–e793. [Google Scholar] [CrossRef]
  48. Sullivan, M.J.L.; Adams, H.; Rhodenizer, T.; Stanish, W.D. A psychosocial risk factor--targeted intervention for the prevention of chronic pain and disability following whiplash injury. Phys. Ther. 2006, 86, 8–18. [Google Scholar] [CrossRef]
  49. Brady, K.T.; Sinha, R. Co-occurring mental and substance use disorders: The neurobiological effects of chronic stress. Am. J. Psychiatry 2005, 162, 1483–1493. [Google Scholar] [CrossRef] [PubMed]
  50. Weber, M.M.; Emrich, H.M. Current and historical concepts of opiate treatment in psychiatric disorders. Int. Clin. Psychopharmacol. 1988, 3, 255–266. [Google Scholar] [CrossRef]
  51. Martins, S.S.; Keyes, K.M.; Storr, C.L.; Zhu, H.; Chilcoat, H.D. Pathways between nonmedical opioid use/dependence and psychiatric disorders: Results from the National Epidemiologic Survey on Alcohol and Related Conditions. Drug Alcohol Depend. 2009, 103, 16–24. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  52. Peciña, M.; Karp, J.F.; Mathew, S.; Todtenkopf, M.S.; Ehrich, E.W.; Zubieta, J.-K. Endogenous opioid system dysregulation in depression: Implications for new therapeutic approaches. Mol. Psychiatry 2019, 24, 576–587. [Google Scholar] [CrossRef] [PubMed]
  53. Robinson, S.E. Buprenorphine: An Analgesic with an Expanding Role in the Treatment of Opioid Addiction. CNS Drug Rev. 2002, 8, 377–390. [Google Scholar] [CrossRef]
  54. Bidlack, J.M.; Knapp, B.I.; Deaver, D.R.; Plotnikava, M.; Arnelle, D.; Wonsey, A.M.; Toh, M.F.; Pin, S.S.; Namchuk, M.N. In Vitro Pharmacological Characterization of Buprenorphine, Samidorphan, and Combinations Being Developed as an Adjunctive Treatment of Major Depressive Disorder. J. Pharmacol. Exp. Ther. 2018, 367, 267–281. [Google Scholar] [CrossRef]
  55. Serafini, G.; Adavastro, G.; Canepa, G.; De Berardis, D.; Valchera, A.; Pompili, M.; Nasrallah, H.; Amore, M. The Efficacy of Buprenorphine in Major Depression, Treatment-Resistant Depression and Suicidal Behavior: A Systematic Review. Int. J. Mol. Sci. 2018, 19, 2410. [Google Scholar] [CrossRef]
  56. Ahmadi, J.; Jahromi, M.S. Anxiety Treatment of Opioid Dependent Patients with Buprenorphine: A Randomized, Double-blind, Clinical Trial. Indian J. Psychol. Med. 2017, 39, 445–449. [Google Scholar] [CrossRef]
  57. Zubieta, J.-K.; Ketter, T.A.; Bueller, J.A.; Xu, Y.; Kilbourn, M.R.; Young, E.A.; Koeppe, R.A. Regulation of Human Affective Responses by Anterior Cingulate and Limbic µ-Opioid Neurotransmission. Arch. Gen. Psychiatry 2003, 60, 1145–1153. [Google Scholar] [CrossRef]
  58. Yovell, Y.; Bar, G.; Mashiah, M.; Baruch, Y.; Briskman, I.; Asherov, J.; Lotan, A.; Rigbi, A.; Panksepp, J. Ultra-Low-Dose Buprenorphine as a Time-Limited Treatment for Severe Suicidal Ideation: A Randomized Controlled Trial. AJP 2016, 173, 491–498. [Google Scholar] [CrossRef]
  59. Pfeiffer, A.; Brantl, V.; Herz, A.; Emrich, H.M. Psychotomimesis mediated by kappa opiate receptors. Science 1986, 233, 774–776. [Google Scholar] [CrossRef]
  60. Tenore, P.L. Psychotherapeutic Benefits of Opioid Agonist Therapy. J. Addict. Dis. 2008, 27, 49–65. Available online: https://www.tandfonline.com/doi/abs/10.1080/10550880802122646?journalCode=wjad20 (accessed on 3 February 2022). [CrossRef]
  61. Fritz, J.M.; George, S.Z. Identifying psychosocial variables in patients with acute work-related low back pain: The importance of fear-avoidance beliefs. Phys. Ther. 2002, 82, 973–983. [Google Scholar] [CrossRef] [Green Version]
  62. George, S.Z.; Fritz, J.M.; Childs, J.D. Investigation of Elevated Fear-Avoidance Beliefs for Patients with Low Back Pain: A Secondary Analysis Involving Patients Enrolled in Physical Therapy Clinical Trials. J. Orthop. Sports Phys. Ther. 2008, 38, 50–58. [Google Scholar] [CrossRef]
  63. George, S.Z.; Fritz, J.M.; McNeil, D.W. Fear-avoidance beliefs as measured by the fear-avoidance beliefs questionnaire: Change in fear-avoidance beliefs questionnaire is predictive of change in self-report of disability and pain intensity for patients with acute low back pain. Clin. J. Pain 2006, 22, 197–203. [Google Scholar] [CrossRef]
  64. Vlaeyen, J.W.; Linton, S.J. Fear-avoidance and its consequences in chronic musculoskeletal pain: A state of the art. Pain 2000, 85, 317–332. [Google Scholar] [CrossRef] [PubMed]
  65. Linton, S.J.; Shaw, W.S. Impact of Psychological Factors in the Experience of Pain. Phys. Ther. 2011, 91, 700–711. [Google Scholar] [CrossRef]
  66. Waddell, G.; Somerville, D.; Henderson, I.; Newton, M. Objective clinical evaluation of physical impairment in chronic low back pain. Spine 1992, 17, 617–628. [Google Scholar] [CrossRef]
  67. Philips, H.; Jahanshahi, M. The components of pain behaviour report. Behav. Res. Ther. 1986, 24, 117–125. [Google Scholar] [CrossRef]
  68. Flynn, T.; Fritz, J.; Whitman, J.; Wainner, R.; Magel, J.; Rendeiro, D.; Butler, B.; Garber, M.; Allison, S. A clinical prediction rule for classifying patients with low back pain who demonstrate short-term improvement with spinal manipulation. Spine 2002, 27, 2835–2843. [Google Scholar] [CrossRef]
  69. Cleland, J.A.; Fritz, J.M.; Brennan, G.P. Predictive validity of initial fear avoidance beliefs in patients with low back pain receiving physical therapy: Is the FABQ a useful screening tool for identifying patients at risk for a poor recovery? Eur. Spine J. 2008, 17, 70–79. [Google Scholar] [CrossRef] [PubMed]
  70. Hassamal, S.; Miotto, K.; Wang, T.; Saxon, A.J. A narrative review: The effects of opioids on sleep disordered breathing in chronic pain patients and methadone maintained patients. Am. J. Addict. 2016, 25, 452–465. [Google Scholar] [CrossRef] [PubMed]
  71. Correa, D.; Farney, R.J.; Chung, F.; Prasad, A.; Lam, D.; Wong, J. Chronic opioid use and central sleep apnea: A review of the prevalence, mechanisms, and perioperative considerations. Anesth. Analg. 2015, 120, 1273–1285. [Google Scholar] [CrossRef]
  72. Wang, D.; Teichtahl, H.; Goodman, C.; Drummer, O.; Grunstein, R.R.; Kronborg, I. Subjective Daytime Sleepiness and Daytime Function in Patients on Stable Methadone Maintenance Treatment: Possible Mechanisms. J. Clin. Sleep Med. 2008, 4, 557–562. [Google Scholar] [CrossRef]
  73. Calley, D.Q.; Jackson, S.; Collins, H.; George, S.Z. Identifying Patient Fear-Avoidance Beliefs by Physical Therapists Managing Patients with Low Back Pain. J. Orthop. Sports Phys. Ther. 2010, 40, 774–783. [Google Scholar] [CrossRef]
  74. Burton, A.K.; Waddell, G.; Tillotson, K.M.; Summerton, N. Information and advice to patients with back pain can have a positive effect. A randomized controlled trial of a novel educational booklet in primary care. Spine 1999, 24, 2484–2491. [Google Scholar] [CrossRef]
Figure 1. Loading plots of SF-36 vectors.
Figure 1. Loading plots of SF-36 vectors.
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Figure 2. Scree plot of SF-36 variables.
Figure 2. Scree plot of SF-36 variables.
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Table 1. Psychological assessment questionnaires.
Table 1. Psychological assessment questionnaires.
QuestionnaireApplication
Epworth Sleepiness Scale (ESS) [32]Measures daytime sleepiness: 0 to 10 is normal; 11–12 is mild; 13–15 is moderate excessive; and 16–24 is severe excessive.
The 36-Item Short Form Survey (SF-36) [33]A total of 8 categories are scored on a scale from 0 to 100, with 100 representing the highest level of functioning possible: physical functioning, bodily pain, role limitations due to physical health problems, role limitations due to personal or emotional problems, emotional well-being, social functioning, energy/fatigue, and general health perceptions.
Generalized Anxiety Disorder 7-Item Scale (GAD-7) [34]Assesses anxiety: 0–5 is mild, 6–10 is moderate, and 11–15 is high.
Patient Health Questionnaire (PHQ) [35]Assesses depression: 1–4 is minimal, 5–9 is mild, 10–14 is moderate, 15–19 is moderately severe, and 20–27 is severe.
Fear Avoidance Beliefs Questionnaire—Work and Physical Activity (FAB-Wand PA) [14,36,40]Two subscales (FAB-W: 0-42; FAB-PA 0-24) in which higher scores indicate more severe pain and disability due to fear avoidance beliefs about work and physical activity. Various score thresholds have been documented as associated with clinical relevancy and specific negative chronicity of CNCP. Higher scores have been associated with poor physical and manual therapy results and low return to work rates after an injury.
Tampa Scale of Kinesiophobia (TKS) [37]A measure of fear of movement and reinjury. Scores range from 17–68, with higher scores being of higher severity.
Pain Catastrophizing Scale (PCS) [14,38,41,42]Assesses levels of catastrophizing. In initial validation, a score of 30 or more correlated with high unemployment, self-declared “total” disability, and clinical depression. However, various lower score thresholds have been documented as associated with clinical relevancy for specific negative chronicity of CNCP.
Brief Pain Inventory-Severity and Impairment (BPI-Pain and Impairment) [39,43] Provides two scores which assess the severity of pain and pain-related impairment on daily functions using the mean of several Likert scales of 0–10, with 10 being the worst.
Table 2. Paired t-tests of pre- and post-LTOT cessation psychological assessment questionnaires.
Table 2. Paired t-tests of pre- and post-LTOT cessation psychological assessment questionnaires.
VariablePretest MeanPosttest MeanStd. Errornt-RatiopLower 95% CIUpper 95% CI
SF-3636.9549.762.41645.31<0.0001 *7.9917.62
ESS8.088.470.46610.840.4058−0.541.31
PHQ11.827.910.8157−4.80<0.0001 *−5.53−2.29
GAD77.717.430.9458−0.290.7692−2.151.60
BPI-Pain5.914.670.2058−6.19<0.0001 *−1.65−0.84
BPI-Impairment6.354.560.3060−5.88<0.0001 *−2.39−1.18
PCS21.613.321.3956−5.92<0.0001 *−11.09−5.48
FAB-PA12.9511.181.0355−1.71<0.0001 *−3.830.31
FAB-W24.0223.81.3145−0.140.8867−3.011.39
TSK35.7235.161.42340.390.6967−3.392.29
* Significant at the 0.01 Alpha level.
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Silva, M.J.; Coffee, Z.; Yu, C.H.A.; Hu, J. Changes in Psychological Outcomes after Cessation of Full Mu Agonist Long-Term Opioid Therapy for Chronic Pain. J. Clin. Med. 2023, 12, 1354. https://doi.org/10.3390/jcm12041354

AMA Style

Silva MJ, Coffee Z, Yu CHA, Hu J. Changes in Psychological Outcomes after Cessation of Full Mu Agonist Long-Term Opioid Therapy for Chronic Pain. Journal of Clinical Medicine. 2023; 12(4):1354. https://doi.org/10.3390/jcm12041354

Chicago/Turabian Style

Silva, Marcelina Jasmine, Zhanette Coffee, Chong Ho Alex Yu, and Joshua Hu. 2023. "Changes in Psychological Outcomes after Cessation of Full Mu Agonist Long-Term Opioid Therapy for Chronic Pain" Journal of Clinical Medicine 12, no. 4: 1354. https://doi.org/10.3390/jcm12041354

APA Style

Silva, M. J., Coffee, Z., Yu, C. H. A., & Hu, J. (2023). Changes in Psychological Outcomes after Cessation of Full Mu Agonist Long-Term Opioid Therapy for Chronic Pain. Journal of Clinical Medicine, 12(4), 1354. https://doi.org/10.3390/jcm12041354

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