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. Author manuscript; available in PMC: 2022 Dec 30.
Published in final edited form as: J Clin Anesth Intensive Care. 2022;3(1):1–5.

Mind-body approaches for reducing the need for post-operative opioids: Evidence and opportunities

Bethany D Pester 1, Robert R Edwards 1,*, Marc O Martel 2, Christopher J Gilligan 1, Samantha M Meints 1
PMCID: PMC9802583  NIHMSID: NIHMS1829306  PMID: 36590137

Introduction

While opioids remain our most potent analgesics in the management of pain, the many potential harms of prescription opioids have become increasingly clear. Despite the analgesic benefits for people with acute and chronic pain [1], opioid therapy (especially long-term opioid treatment) can result in significant problems such as opioid misuse, the development of opioid use disorder, and overdose. Some authors report that up to 20-30% of patients in primary and tertiary care settings who are maintained on long-term opioid therapy misuse opioids (i.e., use them in a manner other than how the opioids are prescribed) [2,3]. Misuse of opioids can cause or exacerbate additional health problems in people with chronic pain [1,4], and in fact, roughly 10% of patients prescribed long-term opioid therapy may develop an opioid use disorder (OUD), although prevalence estimates vary between studies depending on differences in methodology and operational definitions [3]. Surgery is a common point of exposure to opioids for many individuals, and recent data suggest that substantial percentages of opioid-naive patients will go on to long-term opioid use following a surgery (e.g., approximately 6% in one large national survey [5]). With over 50 million surgeries performed in the US each year [6], the peri- and post-operative period represents an important window of opioid-related risk for many Americans.

In a prior review [7], we described patient characteristics associated with elevated risk for opioid use problems. For instance, patients presenting with concomitant psychotropic medication use and/or a lifetime history of a mental disorder(s) are at greater risk of opioid misuse and OUD [811]. Psychosocial characteristics that have been consistently linked with opioid-related problems include: anxiety [8,1217], trauma history and/or post-traumatic stress disorder [1720], depressive symptoms (particularly anhedonia or loss of pleasure) [17,2127], high levels of negative affect [8,12,13,23,24,2832], pain catastrophizing or a negative cognitive and emotional response to actual or anticipated pain (particularly rumination) [28,3337], personality traits such as impulsivity and sensation-seeking [38,39], borderline and antisocial personality disorders [8,39], sleep disturbances [9,35,4042], and deficits in pain coping skills [15,4348]. Psychological factors appear to be more predictive of opioid misuse and OUD than pain-related factors such as the type of pain condition experienced by a patient or even a patient’s reported pain intensity [1214,22,28,33,34,49,50], which might be expected to serve as a very strong predictor. Psychological characteristics, such as high levels of depression, anxiety, and insomnia, are also shown to predict long-term opioid use after surgery, among other predictors such as pre-surgical opioid use (which is invariably among the strongest determinants of post-operative opioid use) and a history of substance use disorder(s) [5153]. This is a potentially quite important but at times under-appreciated point: many of the same factors that confer risk for long-term opioid use in the setting of chronic pain also serve as risk factors for heavy use, misuse, and persistent use of opioids after a surgical procedure. Given that psychosocial factors appear to be predominant drivers of opioid use problems across settings, it seems sensible to target those factors in order to improve opioid-related outcomes. It is not surprising, then, that psychological interventions for chronic pain have subsequently emerged to reduce risks and potential harms associated with opioid therapy.

Psychological or mind-body interventions have historically been included as part of multidisciplinary treatment for chronic pain and are designed to reduce pain intensity, psychological distress, and pain-related disability. Mind-body interventions (MBIs) confer their benefits via multiple mechanisms, some of which are physiological in nature. For example, MBIs have been shown to positively affect heart rate variability (HRV) in chronic pain patients, which is important as chronic pain has been strongly linked to low HRV mediated by reduced parasympathetic activity [54]. While initially designed to improve outcomes such as pain severity and pain-related disability, the goals of these interventions have expanded over time to include reduction or prevention of opioid use problems among patients with chronic pain. Recent studies suggest that MBIs may reduce the need for and misuse of opioids by remediating dysfunctions in reward and autonomic systems [55,56]. Mind-body approaches for managing chronic pain and opioid misuse often incorporate elements from cognitive behavioral therapy (CBT; e.g., education about chronic pain and opioid misuse, coping skills to deal with pain and opioid cravings, activity pacing, stress management, sleep hygiene) and acceptance and commitment therapy (ACT; e.g., values-based behavioral activation, mindfulness, cognitive defusion, acceptance). Recently published trials of mind-body treatments often utilize interventions that blend components from multiple therapeutic orientations, including CBT, ACT, Pain Neuroscience Education, and Emotional Awareness and Expression Therapy (for example, see [57]). The efficacy of such psychological interventions in treating chronic pain and opioid use problems has been well-established (for review, see [7]).

MBIs in Perioperative Settings

Recent work has revealed the potential of mind-body treatments (originally studied as interventions to alleviate pre-existing persistent pain) to critically reduce pain and opioid use after surgery. Surgery can precipitate both chronic pain and long-term opioid use [58,59], with approximately 30% of patients developing chronic, postsurgical pain [60]. Currently, pharmacological pain management is standard peri- and post-operative practice [6]. However, given the risks associated with opioids and sedatives, there is an undeniable need for empirically-supported non-pharmacological interventions to prevent long-term sequelae of post-operative pain and opioid use. MBIs, which have been effectively integrated into the treatment of patients with established chronic pain, have been adapted to prevent the transition from acute postsurgical pain, to optimize pharmacological management of chronic pain and reduce the risk of prolonged opioid use after surgery.

Recent studies of MBIs delivered during the perioperative period show promise for reducing pain and opioid use after surgery. Hadlandsmyth and colleagues [61] conducted a pilot randomized controlled trial (RCT) of the Perioperative Pain Self-Management (PePS) intervention; a 4-session, telephone-based CBT approach, adapted to target acute postsurgical pain management for veterans. Sessions focused on behavioral pain management skills such as relaxation training, cognitive restructuring and use of coping thoughts, and goal-setting. Findings suggest that this brief structured pre- and post-surgical psychological pain self-management intervention may lower rates of moderate-to-severe surgical site pain and opioid use following surgery. At 3-months post-surgery, only 7% of patients who received the PePS intervention reported moderate-to-severe pain compared to 26% who received standard care, and only 2% of PePS participants were taking opioids compared to 15% of controls. Qualitative analyses indicated that PePS participants benefitted from learning to think differently about pain, find ways to take their mind off pain, and use pain self-management skills to reduce their reliance on medications and/or increase time between doses. Though concise, feasible, and scalable (particularly given the telephone-based delivery) to implement, this brief intervention did require some flexibility in terms of timing and structure of sessions.

Another pilot study [62] similarly utilized a remote, flexible, and low-cost format (i.e., automated mobile phone messaging) to deliver a CBT-based intervention to musculoskeletal tumor patients scheduled for outpatient surgery. They found that patients who received the virtual CBT intervention (i.e., daily text messages giving post-operative guidance and encouragement and inquiring about pain and opioid use) showed a gradual reduction in pain intensity and opioid utilization over the first two post-operative weeks, with nearly all patients reporting that they were no longer using opioids by the end of the second post-operative week. Experimental participants had significantly lower opioid utilization rates than controls, who did not receive virtual CBT messaging. Patients were generally accepting of the post-operative communication platform, with the majority reporting feeling more connected to their team and preferring to conduct post-operative communication via text messaging, which represents a highly convenient, patient-friendly mode of interaction that is likely worth considering in future MBI studies.

A larger, three-arm RCT (N=118) tested the effects of two mindfulness approaches for patients undergoing total joint arthroplasty: mindfulness of breath (MoB) and mindfulness of pain (MoP) [63]. The two approaches mainly differed in the target of attention. MoB trained participants in focused attention on the breath, metacognitive monitoring, and acceptance of automatic thoughts, negative emotions, and body sensations. MoP, which called for focused attention on both pain and neutral/pleasant sensations, provided interoceptive exposure to pain, helped patients to separate physical sensations from automatic emotional reactions and pain appraisals, and shift attention to nonpainful sensations. MoB and MoP were both delivered in a single, 20-minute session approximately 3 weeks before surgery and were compared with a standard behaviorally-focused psychoeducation intervention delivered in the same format. Of the patients who received either mindfulness approach, only 2% were taking opioids one month after surgery, compared to 40% in the psychoeducation comparison condition. MoB appeared most effective at decreasing immediate preoperative pain, whereas MoP resulted in the least amount of postoperative pain and pain interference at 1-month follow-up.

Finally, a recent RCT by Flowers et al. [64] deviated from the standard cognitive-behavioral and mindfulness-based approaches by using classical conditioning to pair opioid analgesics (an unconditioned stimulus) with placebo pills (a conditioned stimulus) in an open-label placebo paradigm (i.e., participants receiving placebo pills are informed that placebos are known to activate natural endogenous mechanisms that alleviate pain) to elicit pain reduction in response to placebos alone. Among spinal fusion patients, compared to treatment as usual, the conditioned open-label placebo treatment was associated with approximately 50% less daily opioid consumption following discharge from the hospital. Moreover, the conditioned open-label placebo group showed an earlier discontinuation from opioids after surgery, as well as lower levels of worst pain during the post-operative period. The benefits of this intervention were most pronounced in younger patients, women, and those with higher preoperative pain severity; historically these have been the surgical candidates at the highest risk for severe and long-term post-surgical pain, suggesting that this non-pharmacologic intervention is maximally effective in those who are most in need of such treatments.

Summary

In sum, brief psychological interventions delivered in the perioperative period show promise in preventing both chronic postsurgical pain and prolonged opioid use for many surgical patients. Psychological interventions for pain have historically been used to treat established chronic pain conditions and opioid use problems, or as one-time interventions to improve acute pain in a medical setting (e.g., relaxation and distraction techniques for children undergoing painful procedures). Recent work has elucidated novel ways in which MBIs can be tailored to the perioperative period to prevent persistent pain and long-term opioid use after surgery in both opioid-naive patients and patients on pre-operative opioid regimens. Such MBIs show tremendous promise as supplemental treatments in the context of multi-modal management of peri- and post-operative pain. Many of these treatments demonstrate both short- and long-term benefits (i.e., reduced pain, reduced need for opioids), with minimal potential for harms, or adverse effects; moreover, they can be applied as adjunctive treatments to existing regimens, as they do not interfere with (and may even offer synergies with) pharmacologic treatments, physical treatments such as physical therapy, etc. The brevity and low cost of mind-body interventions make them feasible to implement across settings and patient populations. It is noteworthy that many of these treatments require only a small number of sessions/visits, and most are amenable to remote delivery, making them potentially highly scalable.

Historical impediments to psychological intervention, in general, include cost, logistical difficulties such as requirements for multiple in-person patient visits, and lack of access to providers with expertise in delivering these interventions. Increasingly, these barriers are becoming less salient as MBIs are available by remote delivery and covered by third-party payers. The delivery of psychological intervention during the perioperative period, however, introduces new challenges given certain logistical constraints such as timing of surgery. MBIs will need to be designed to maximize their flexibility in terms of format and delivery; already, a number of researchers have been creatively experimenting with: (1) the structure and timing of sessions (e.g., single sessions [63]; pre- and post-surgical timing of the treatments), (2) remote delivery platforms such as mobile phone messaging, and (3) innovative approaches such as conditioned placebos and focused mindfulness strategies.

Overall, these approaches appear to hold great promise for improving pain- and opioid-related outcomes following the tens of millions of surgical procedures that are performed every year in the U.S. alone. The risks associated with long-term opioid therapy cannot be ignored and the large (and growing) daily toll of opioid deaths is a clear call for ongoing work in this area. At this point, numerous hospital systems have begun implementing Enhanced Recovery After Surgery (ERAS) protocols to optimize hydration, nutrition, and pain control, leading to faster, safer, and more comfortable recovery from surgery. In general, most ERAS programs do not currently include MBIs in their multimodal treatment packages. Adding MBIs to existing ERAS protocols may present a valuable opportunity to further enhance the efficacy of a second generation of ERAS programs. Given the sizable (and growing) body of evidence that MBIs can improve acute outcomes in the peri- and post-operative space, and that MBIs show substantial long-term effects in preventing persistent pain and long-term need for opioids after surgery, such treatments appear to offer highly favorable risk-benefit profiles. Simultaneously, larger RCTs with flexible delivery formats and long-term assessment are needed to test and refine perioperative mind-body approaches to prevent the development of chronic pain and opioid use problems after surgery.

Funding

This work was supported by the National Institutes of Health grants K24 NS126570, K23 AR077088 to Dr. Robert R. Edwards.

References

  • 1.Busse JW, Wang L, Kamaleldin M, Craigie S, Riva JJ, Montoya L, et al. Opioids for chronic noncancer pain: a systematic review and meta-analysis. JAMA. 2018. Dec 18;320(23):2448–60. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Turk DC, Swanson KS, Gatchel RJ. Predicting opioid misuse by chronic pain patients: a systematic review and literature synthesis. The Clinical Journal of Pain. 2008. Jul 1;24(6):497–508. [DOI] [PubMed] [Google Scholar]
  • 3.Vowles KE, McEntee ML, Julnes PS, Frohe T, Ney JP, Van Der Goes DN. Rates of opioid misuse, abuse, and addiction in chronic pain: a systematic review and data synthesis. Pain. 2015. Apr 1;156(4):569–76. [DOI] [PubMed] [Google Scholar]
  • 4.Chou R, Turner JA, Devine EB, Hansen RN, Sullivan SD, Blazina I, et al. The effectiveness and risks of long-term opioid therapy for chronic pain: a systematic review for a National Institutes of Health Pathways to Prevention Workshop. Annals of Internal Medicine. 2015. Feb 17;162(4):276–86. [DOI] [PubMed] [Google Scholar]
  • 5.Brummett CM, Waljee JF, Goesling J, Moser S, Lin P, Englesbe MJ, et al. New persistent opioid use after minor and major surgical procedures in US adults. JAMA Surgery. 2017. Jun 1;152(6):e170504. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Hah JM, Bateman BT, Ratliff J, Curtin C, Sun E. Chronic opioid use after surgery: implications for perioperative management in the face of the opioid epidemic. Anesthesia and Analgesia. 2017. Nov;125(5):1733. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Martel MO, Bruneau A, Edwards RR. Mind-body approaches targeting the psychological aspects of opioid use problems in patients with chronic pain: Evidence and opportunities. Translational Research. 2021. Mar 3. [DOI] [PubMed] [Google Scholar]
  • 8.Boscarino JA, Rukstalis M, Hoffman SN, Han JJ, Erlich PM, Gerhard GS, et al. Risk factors for drug dependence among out-patients on opioid therapy in a large US health-care system. Addiction. 2010. Oct;105(10):1776–82. [DOI] [PubMed] [Google Scholar]
  • 9.Boscarino JA, Hoffman SN, Han JJ. Opioid-use disorder among patients on long-term opioid therapy: impact of final DSM-5 diagnostic criteria on prevalence and correlates. Substance Abuse and Rehabilitation. 2015;6:83–91. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Cragg A, Hau JP, Woo SA, Kitchen SA, Liu C, Doyle-Waters MM, et al. Risk factors for misuse of prescribed opioids: a systematic review and meta-analysis. Annals of Emergency Medicine. 2019. Nov 1;74(5):634–46. [DOI] [PubMed] [Google Scholar]
  • 11.Klimas J, Gorfinkel L, Fairbairn N, Amato L, Ahamad K, Nolan S, et al. Strategies to identify patient risks of prescription opioid addiction when initiating opioids for pain: a systematic review. JAMA Network Open. 2019. May 3;2(5):e193365. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Rogers AH, Kauffman BY, Bakhshaie J, McHugh RK, Ditre JW, Zvolensky MJ. Anxiety sensitivity and opioid misuse among opioid-using adults with chronic pain. The American Journal of Drug and Alcohol Abuse. 2019. Sep 3;45(5):470–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Martel MO, Dolman AJ, Edwards RR, Jamison RN, Wasan AD. The association between negative affect and prescription opioid misuse in patients with chronic pain: The mediating role of opioid craving. The Journal of Pain. 2014. Jan 1;15(1):90–100. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Schieffer BM, Pham Q, Labus J, Baria A, Van Vort W, Davis P, et al. Pain medication beliefs and medication misuse in chronic pain. The Journal of Pain. 2005. Sep 1;6(9):620–9. [DOI] [PubMed] [Google Scholar]
  • 15.Rogers AH, Bakhshaie J, Zvolensky MJ, Vowles KE. Pain anxiety as a mechanism linking pain severity and opioid misuse and disability among individuals with chronic pain. Journal of Addiction Medicine. 2020. Jan 1;14(1):26–31. [DOI] [PubMed] [Google Scholar]
  • 16.Rogers AH, Bakhshaie J, Lam H, Langdon KJ, Ditre JW, Zvolensky MJ. Pain-related anxiety and opioid misuse in a racially/ethnically diverse young adult sample with moderate/severe pain. Cognitive Behaviour Therapy. 2018. Sep 3;47(5):372–82. [DOI] [PubMed] [Google Scholar]
  • 17.Morasco BJ, Duckart JP, Dobscha SK. Adherence to clinical guidelines for opioid therapy for chronic pain in patients with substance use disorder. Journal of General Internal Medicine. 2011. Sep;26(9):965–71. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Williams JR, Cole V, Girdler S, Cromeens MG. Exploring stress, cognitive, and affective mechanisms of the relationship between interpersonal trauma and opioid misuse. PloS One. 2020. May 15;15(5):e0233185. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.López-Martínez AE, Reyes-Párez Á, Serrano-Ibáñez ER, Esteve R, Ramírez-Maestre C. Chronic pain, posttraumatic stress disorder, and opioid intake: A systematic review. World Journal of Clinical Cases. 2019. Dec 26;7(24):4254. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Bilevicius E, Sommer JL, Asmundson GJ, El-Gabalawy R. Posttraumatic stress disorder and chronic pain are associated with opioid use disorder: Results from a 2012-2013 American nationally representative survey. Drug and Alcohol Dependence. 2018. Jul 1;188:119–25. [DOI] [PubMed] [Google Scholar]
  • 21.Fleming MF, Davis J, Passik SD. Reported lifetime aberrant drugtaking behaviors are predictive of current substance use and mental health problems in primary care patients. Pain Medicine. 2008. Nov 1;9(8):1098–106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Grattan A, Sullivan MD, Saunders KW, Campbell CI, Von Korff MR. Depression and prescription opioid misuse among chronic opioid therapy recipients with no history of substance abuse. The Annals of Family Medicine. 2012. Jul 1;10(4):304–11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Edlund MJ, Sullivan MD, Han X, Booth BM. Days with pain and substance use disorders: is there an association?. The Clinical Journal of Pain. 2013. Aug;29(8):689. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Edlund MJ, Sullivan M, Steffick D, Harris KM, Wells KB. Do users of regularly prescribed opioids have higher rates of substance use problems than nonusers? Pain Medicine. 2007. Nov 1;8(8):647–56. [DOI] [PubMed] [Google Scholar]
  • 25.Park J, Lavin R. Risk factors associated with opioid medication misuse in community-dwelling older adults with chronic pain. The Clinical Journal of Pain. 2010. Oct 1;26(8):647–55. [DOI] [PubMed] [Google Scholar]
  • 26.Trafton JA, Cucciare MA, Lewis E, Oser M. Somatization is associated with non-adherence to opioid prescriptions. The Journal of Pain. 2011. May 1;12(5):573–80. [DOI] [PubMed] [Google Scholar]
  • 27.Garland EL, Trøstheim M, Eikemo M, Ernst G, Leknes S. Anhedonia in chronic pain and prescription opioid misuse. Psychological Medicine. 2020. Sep;50(12):1977–88. [DOI] [PubMed] [Google Scholar]
  • 28.Frimerman L, Verner M, Sirois A, Scott K, Bruneau A, Perez J, et al. Day-to-day hedonic and calming effects of opioids, opioid craving, and opioid misuse among patients with chronic pain prescribed long-term opioid therapy. Pain. 2021. Aug 1;160(8):2214–24. [DOI] [PubMed] [Google Scholar]
  • 29.Zautra A, Smith B, Affleck G, Tennen H. Examinations of chronic pain and affect relationships: applications of a dynamic model of affect. Journal of Consulting and Clinical Psychology. 2001. Oct;69(5):786. [DOI] [PubMed] [Google Scholar]
  • 30.Wasan AD, Michna E, Edwards RR, Katz JN, Nedeljkovic SS, Dolman AJ, et al. Psychiatric comorbidity is associated prospectively with diminished opioid analgesia and increased opioid misuse in patients with chronic low back pain. Anesthesiology. 2015. Oct;123(4):861–72. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Wasan AD, Butler SF, Budman SH, Benoit C, Fernandez K, Jamison RN. Psychiatric history and psychologic adjustment as risk factors for aberrant drug-related behavior among patients with chronic pain. The Clinical Journal of Pain. 2007. May 1;23(4):307–15. [DOI] [PubMed] [Google Scholar]
  • 32.Webster LR, Webster RM. Predicting aberrant behaviors in opioid-treated patients: preliminary validation of the Opioid Risk Tool. Pain Medicine. 2005. Nov 1;6(6):432–42. [DOI] [PubMed] [Google Scholar]
  • 33.Martel MO, Edwards RR, Jamison RN. The relative contribution of pain and psychological factors to opioid misuse: A 6-month observational study. American Psychologist. 2020. Sep;75(6):772. [DOI] [PubMed] [Google Scholar]
  • 34.Campbell G, Noghrehchi F, Nielsen S, Clare P, Bruno R, Lintzeris N, et al. Risk factors for indicators of opioid-related harms amongst people living with chronic non-cancer pain: Findings from a 5-year prospective cohort study. EClinicalMedicine. 2020. Nov 1;28:100592. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Hah JM, Sturgeon JA, Zocca J, Sharifzadeh Y, Mackey SC. Factors associated with prescription opioid misuse in a cross-sectional cohort of patients with chronic non-cancer pain. Journal of Pain Research. 2017;10:979–87. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.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 Medicine. 2016. Feb 1;17(2):295–303. [DOI] [PubMed] [Google Scholar]
  • 37.Lee SJ, Koussa M, Gelberg L, Heinzerling K, Young SD. Somatization, mental health and pain catastrophizing factors associated with risk of opioid misuse among patients with chronic non-cancer pain. Journal of Substance Use. 2020. Jul 3;25(4):357–62. [Google Scholar]
  • 38.Vest N, Reynolds CJ, Tragesser SL. Impulsivity and risk for prescription opioid misuse in a chronic pain patient sample. Addictive Behaviors. 2016. Sep 1;60:184–90. [DOI] [PubMed] [Google Scholar]
  • 39.Reynolds CJ, Vest N, Tragesser SL. Borderline personality disorder features and risk for prescription opioid misuse in a chronic pain sample: roles for identity disturbances and impulsivity. Journal of Personality Disorders. 2021. Apr;35(2):270–87. [DOI] [PubMed] [Google Scholar]
  • 40.Morasco BJ, O’Hearn D, Turk DC, Dobscha SK. Associations between prescription opioid use and sleep impairment among veterans with chronic pain. Pain Medicine. 2014. Nov 1;15(11):1902–10. [DOI] [PubMed] [Google Scholar]
  • 41.Kelley ML, Bravo AJ, Votaw VR, Stein E, Redman JC, Witkiewitz K. Opioid and sedative misuse among veterans wounded in combat. Addictive Behaviors. 2019. May 1;92:168–72. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Groenewald CB, Law EF, Rabbitts JA, Palermo TM. Associations between adolescent sleep deficiency and prescription opioid misuse in adulthood. Sleep. 2021. Mar;44(3):zsaa201. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Passik SD, Lowery A. Psychological variables potentially implicated in opioid-related mortality as observed in clinical practice. Pain Medicine. 2011. Jun;12:S36–42. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Kirsh KL, Jass C, Bennett DS, Hagen JE, Passik SD. Initial development of a survey tool to detect issues of chemical coping in chronic pain patients. Palliative & Supportive Care. 2007. Sep;5(3):219–26. [DOI] [PubMed] [Google Scholar]
  • 45.Manhapra A, Becker WC. Pain and addiction: an integrative therapeutic approach. Medical Clinics. 2018. Jul 1;102(4):745–63. [DOI] [PubMed] [Google Scholar]
  • 46.Ferguson E, Zale E, Ditre J, Wesolowicz D, Stennett B, Robinson M, et al. CANUE: a theoretical model of pain as an antecedent for substance use. Annals of Behavioral Medicine. 2021. May;55(5):489–502. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Vowles KE, Bailey RW, McEntee ML, Pielech M, Edwards KA, Bolling LA, et al. Using analgesics for emotional modulation is associated with increased distress, depression, and risk of opioid and alcohol misuse: Initial Evaluation and Component Analysis of the Reasons for Analgesic Use Measure (RAUM). The Clinical Journal of Pain. 2018. Oct;34(10):975. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Garland EL, Hanley AW, Bedford CE, Zubieta JK, Howard MO, Nakamura Y, et al. Reappraisal deficits promote craving and emotional distress among chronic pain patients at risk for prescription opioid misuse. Journal of Addictive Diseases. 2018. Apr 3;37(1-2):14–22. [DOI] [PubMed] [Google Scholar]
  • 49.Rogers AH, Shepherd JM, Orr MF, Bakhshaie J, McHugh RK, Zvolensky MJ. Exploring anxiety sensitivity in the relationship between pain intensity and opioid misuse among opioid-using adults with chronic pain. Journal of Psychiatric Research. 2019. Apr 1;111:154–9. [DOI] [PubMed] [Google Scholar]
  • 50.Zegel M, Rogers AH, Vujanovic AA, Zvolensky MJ. Alcohol use problems and opioid misuse and dependence among adults with chronic pain: The role of distress tolerance. Psychology of Addictive Behaviors. 2021. Feb;35(1):42. [DOI] [PubMed] [Google Scholar]
  • 51.Best MJ, Harris AB, Bansal A, Huish E, Srikumaran U. Predictors of Long-term Opioid Use After Elective Primary Total Shoulder Arthroplasty. Orthopedics. 2021. Jan 1;44(1):58–63. [DOI] [PubMed] [Google Scholar]
  • 52.Rhon DI, Snodgrass SJ, Cleland JA, Sissel CD, Cook CE. Predictors of chronic prescription opioid use after orthopedic surgery: derivation of a clinical prediction rule. Perioperative Medicine. 2018. Dec;7(1):1–1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Olds C, Spataro E, Li K, Kandathil C, Most SP. Assessment of persistent and prolonged postoperative opioid use among patients undergoing plastic and reconstructive surgery. JAMA Facial Plastic Surgery. 2019. Jul 1;21(4):286–91. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Adler-Neal AL, Waugh CE, Garland EL, Shaltout HA, Diz DI, Zeidan F. The role of heart rate variability in mindfulness-based pain relief. The Journal of Pain. 2020. Mar 1;21(3-4):306–23. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Garland EL, Froeliger B, Howard MO. Effects of Mindfulness-Oriented Recovery Enhancement on reward responsiveness and opioid cue-reactivity. Psychopharmacology. 2014. Aug;231(16):3229–38. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Garland EL, Hudak J, Hanley AW, Nakamura Y. Mindfulness-oriented recovery enhancement reduces opioid dose in primary care by strengthening autonomic regulation during meditation. American Psychologist. 2020. Sep;75(6):840. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Ashar YK, Gordon A, Schubiner H, Uipi C, Knight K, Anderson Z, et al. Effect of Pain Reprocessing Therapy vs Placebo and Usual Care for Patients With Chronic Back Pain: A Randomized Clinical Trial. JAMA Psychiatry. 2021. Sep 29. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Clarke H, Soneji N, Ko DT, Yun L, Wijeysundera DN. Rates and risk factors for prolonged opioid use after major surgery: population based cohort study. BMJ. 2014. Feb 11;348. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Kehlet H, Jensen TS, Woolf CJ. Persistent postsurgical pain: risk factors and prevention. The Lancet. 2006. May 13;367(9522):1618–25. [DOI] [PubMed] [Google Scholar]
  • 60.Fletcher D, Stamer UM, Pogatzki-Zahn E, Zaslansky R, Tanase NV, Perruchoud C, al. Chronic postsurgical pain in Europe: An observational study. Eur J Anaesthesiol. 2015. Oct;32(10):725–34. [DOI] [PubMed] [Google Scholar]
  • 61.Hadlandsmyth K, Conrad M, Steffensmeier KS, Van Tiem J, Obrecht A, Cullen JJ, et al. Enhancing the Biopsychosocial Approach to Perioperative Care: A Pilot Randomized Trial of the Perioperative Pain Self-Management (PePS) Intervention. Annals of Surgery. 2020. Dec 18. [DOI] [PubMed] [Google Scholar]
  • 62.Rojas EO, Anthony CA, Kain J, Glass N, Shah AS, Smith T, et al. Automated Mobile Phone Messaging Utilizing a Cognitive Behavioral Intervention: A Pilot Investigation. The Iowa Orthopaedic Journal. 2019;39(2):85. [PMC free article] [PubMed] [Google Scholar]
  • 63.Hanley AW, Gililland J, Garland EL. To be mindful of the breath or pain: Comparing two brief preoperative mindfulness techniques for total joint arthroplasty patients. Journal of Consulting and Clinical Psychology. 2021. Jun 24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Flowers KM, Patton ME, Hruschak VJ, Fields KG, Schwartz E, Zeballos J, et al. Conditioned open-label placebo for opioid reduction after spine surgery: a randomized controlled trial. Pain. 2021. Jun 1;162(6):1828–39. [DOI] [PMC free article] [PubMed] [Google Scholar]

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