Analgesic efficacy of sleep-promoting pharmacotherapy in patients with chronic pain: a systematic review and meta-analysis

1. Introduction

Experimental studies in animals4,56,71 and humans,44,61,66 large-scale longitudinal observational studies,11,13,55 clinical trials,50,64 and meta-analytic data2,21,58,60 show that sleep and pain interact in a bidirectional manner, with a stronger causal influence of sleep on pain, than pain on sleep.2,30 More than half of patients with chronic pain report insomnia symptoms, such as trouble falling asleep, maintaining sleep, and dissatisfaction with sleep quality.30,65 Fragmentation and shortening of sleep may heighten pain sensitivity and trigger spontaneous pain through alterations in central nervous system (CNS) pain processes, including proinflammatory mechanisms,38,42,57 dysregulation of monoaminergic systems,56 and glutamatergic signaling,36 which together amplify central sensitization and diminish descending pain inhibitory capacity. Moreover, sleep fragmentation has been shown to decrease the analgesic effects of opioids.67 The effects of sleep disturbance may thus negatively affect pain control and contribute to pain chronicity. Given that treatments of long-term pain are extremely limited, often ineffective and associated with adverse effects,15,32,73 targeting of sleep may improve both sleep and pain outcomes, in addition to multiple other health benefits.41,45,63

We and others have previously found that perioperative pharmacologic sleep-promotion through zolpidem or melatonin may improve postoperative pain control.10,51 Moreover, eszopiclone has been shown to provide meaningful analgesia during acute pain due to mucositis.25 In addition, in a pilot study of fibromyalgia patients with comorbid insomnia, use of suvorexant, an orexin receptor antagonist, was recently found to improve sleep continuity and reduce heat pain sensitivity simultaneously.53 Despite the high frequency of sleep problems in patients with chronic pain, no systematic review has addressed whether pharmacologic treatments that target sleep may have beneficial effects not only on sleep itself but also on pain perception.

Hence, the main objective of the current systematic review was to examine the effects of sleep-promoting pharmacotherapy on pain intensity in patients with chronic pain. Moreover, we wanted to evaluate whether potential improvement of pain control was mediated through improved subjective or objective sleep measures, including sleep continuity and sleep architecture.

2. Methods

This study was conducted as a systematic review and reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement.49 The protocol for this systematic review was registered with PROSPERO (ID = CRD42022304189) in January 2022.

2.1. Eligibility criteria

Published English language randomized controlled trials (RCTs) with at least 20 participants were considered for inclusion in the systematic review. Inclusion criteria were defined according to the PICO (population, intervention, comparison, and outcomes) framework.

2.2. Population

Patients with nonmalignant or malignant chronic pain (as diagnosed according to the International Association for the Study of Pain [IASP] criteria), ie, “pain that persists or recurs for longer than 3 months.”72 There were no predefined exclusion criteria related to pain intensity or pain interference.

2.3. Intervention

Pharmacologic sleep-promotion included the following medications: zolpidem, zaleplon, zopiclone, eszopiclone, melatonin, ramelteon, suvorexant, and triazolam.

Medications used for off-label treatment of sleep problems were excluded (eg, long-acting benzodiazepines, and tricyclic antidepressants).

2.4. Comparison

Any nonexposed control group included (1) placebo, (2) analgesics, (3) nonpharmacological treatment, and (4) no specific treatment.

2.5. Outcomes

The primary outcome was change in pain intensity from baseline to the end of intervention (ie, change in pain Numeric Rating Scale [NRS] score or Visual Analogue Scale [VAS] score). Studies were considered for inclusion even if the primary outcome of the review (change in pain intensity) was not the primary outcome of the identified trial, ie, irrespective of whether the study was primarily designed to assess pain.

Secondary outcomes included changes in analgesic consumption (eg, morphine equivalents), objective sleep continuity, and sleep architecture variables (actigraphy and polysomnography measures, eg, sleep onset latency [SOL], wakefulness after sleep onset [WASO], total sleep time [TST], and sleep efficiency [SE]); subjective sleep quality; subjective estimates of SOL, WASO, TST, and SE; health-related function; anxiety; depression; quality-of-life; physical activity; cognition; and adverse events, from baseline to the end of intervention.

2.6. Search strategy

A comprehensive, systematic search strategy including citation tracking was planned and conducted with assistance from an information specialist (Appendix 1, available at https://links.lww.com/PR9/A185). Multiple electronic databases (MEDLINE, Embase, and Cochrane Central register of controlled trials [CENTRAL]) were searched from inception to January 2022. In addition, reference lists of eligible studies and review articles were scanned for pertinent articles, and other sources of published and unpublished literature were manually searched (eg, clinical trials registries). Searches were executed in January 2022 and rerun before the final analysis. Only English-language RCTs were considered for inclusion. Figure 1 shows the PRISMA flow diagram.

F1Figure 1.:

Preferred reporting items for systematic reviews and meta-analyses (PRISMA) flow chart depicting study selection.

2.7. Study selection and data collection

Two reviewers (E.A. and M.F.B.) independently screened titles and abstracts and assessed full-text articles for inclusion. The Covidence systematic review software (Veritas Health Innovation, Melbourne, Australia) was used to record decisions during the study selection process. Two review authors (E.A. and M.F.B.) extracted data from the eligible full-text articles using data collection forms. In brief, the following data were extracted from study documents: information about study design, methodology (eg, diagnosis of chronic pain condition, intervention (type, dosage, and duration), sleep assessment, and sleep-related and pain-related inclusion or exclusion criteria), participant demographics (eg, age, sex, and body-mass index [BMI]), baseline characteristics (eg, pain intensity, sleep quality, and health-related function), and measures of effect. Disagreements were resolved by discussion and consensus, including a third reviewer (T.K.). In case of missing data, attempts were made to obtain or clarify data from study authors.

2.8. Risk of bias assessment

Study quality and risk of bias were assessed independently by 2 reviewers (E.A. and M.F.B.) for each of the included studies according to the domain-based Cochrane risk of bias tool. Disagreements were resolved by discussion and consensus, including a third reviewer (T.K.).

2.9. Strategy for data synthesis

Since the primary outcome (pain intensity) is typically reported as a continuous variable (eg, NRS/VAS pain scores), mean difference (MD) or standardized mean difference (SMD) (with 95% confidence interval), at end of intervention, was selected as the principal summary measure to determine the effect size. Minimum clinically important difference in pain intensity was defined as a relative reduction of 30% from baseline to end of intervention.

Based on methodology and study design, indicating clinically homogenous studies, meta-analysis of the primary outcome (pain intensity) was planned to synthesize data quantitatively. To assess effect sizes and model parameters, taking into account both within-study and between-study variation in treatment effect, a random-effects model was used. Magnitude of statistical heterogeneity was assessed with the I2 statistic. Analyses of the following subgroups were preplanned: different pharmacologic interventions, specific chronic pain conditions, and only in studies at low risk of bias. Meta-analysis was performed in RevMan (version 5.4.1, The Cochrane Collaboration). The Grading of Recommendations, Assessment, Development and Evaluations (GRADE) approach was used to assess the overall quality of evidence for each outcome, taking into account 5 factors (risk of bias, inconsistency, indirectness, imprecision, and publication bias).

3. Results 3.1. Included studies

The search identified 10 studies involving 3 pharmacologic interventions (melatonin, zopiclone, and eszopiclone) and 574 randomized participants (Fig. 1, Table 1).5,24,26,27,34,35,54,59,68,74 Attempts were made to contact 4 authors to request additional data not reported in the original article24,26,35,68; 2 authors replied but were not able to provide data,26,68 2 failed to reply.24,35

Table 1 - Overview of randomized controlled studies examining analgesic effects of sleep-promoting medications in chronic pain populations. First author, y [ref#] Chronic pain population N M:F Intervention: sleep-promoting medication Comparison BL pain intensity* Sleep outcome results† (intervention vs control) Pain outcome results† (intervention vs control) ≥30% pain reduction? Altiparmak 20195 NeuP 80 41:39 Melatonin 3 mg (30 d) Melatonin + gabapentin 300 mg TID vs placebo + gabapentin 300 mg TID NRS 0-10: 7.4±1.1 (MEL), 7.5±1.0 (C) ESS↓
PSQI n.s. NRS pain↓ Pain NRS: 14.2% reduction Drewes 199126 FM 41 0:41 Zopiclone 7.5 mg (12 wk) Zopiclone vs placebo NR LSEQ: sleep quality↑, SOL↓
PSG: Sleep architecture n.s. Pain VRS n.s.‡ pressure algometry n.s.‡
Analgesic consumption n.s.‡ Pain VRS n.s. over time‡ Drewes 199827 RA 40 11:29 Zopiclone 7.5 mg (2 wk) Zopiclone vs placebo MPQ PPI (0-5): 1.7 ± 0.9 (ZOP), 2.0 ± 1.1 (C) LSEQ: sleep quality↑, SOL↓
PSG: N2%↑, power in delta↓, theta↓, alpha↑, sigma↑ bands MPQ present pain intensity and total pain rating index n.s. MPQ present pain intensity: +11.8% Goforth 201434 CLBP 52 19:33 Eszopiclone 3 mg (4 wk) Eszopiclone + naproxen 500 mg BID vs placebo + Naproxen 500 mg BID VAS 0-100: 48.5 ± 16.2 (ESZ), 53.8 ± 21.0 (C) Sleep diary: TST↑, SOL↓, WASO↓, SE↑, sleep quality↑. ISI↓. Pain VAS↓, patient and clinical global impression of pain ratings n.s. Pain VAS: 34.6% reduction Gronblad 199335 FM 33 2:31 Zopiclone 7.5 mg (8 wk) Zopiclone vs placebo NR Global sleep quality score n.s. Pain NRS scores n.s. pain drawings n.s., pressure algometry n.s. NR Roth 200954 RA 153 20:133 Eszopiclone 3 mg (4 wk) Eszopiclone vs placebo NRS 0-10: 5.2 ± 2.3 (ESZ), 5.3 ± 1.9 (C) SOL↓, WASO↓, TST↑, sleep quality↑, sleep depth↑, ISI↓ Subjective pain severity assessment scale↓; pain severity score n.s., SF-36 BP score↑ (i.e., less pain), ASES score pain↓, analgesic consumption n.s. Subjective pain severity assessment scale score: 9.3% reduction Schwertner 201359 Endometriosis-associated chronic pelvic pain 40 0:40 Melatonin 10 mg (8 wk) Melatonin vs placebo VAS 0-10: 6.5 ± 2.6 (MEL), 6.9 ± 2.1 (C) Sleep quality↑ Maximum pain last 24 h↓, pain during menstrual period/intercourse/evacuation/urination↓; analgesic consumption↓ Maximum pain last 24 h: 39.3% reduction Song 200568 IBS 40 16:24 Melatonin 3 mg (2 wk) Melatonin vs placebo NRS 0-10: 4.1 ± 0.3 (MEL), 3.9 ± 0.3 (C) PSQI, ESS n.s.
PSG parameters n.s. Abdominal pain↓
Rectal distension pain threshold↑ Abdominal pain: 42.0% reduction Vidor 201374 Painful TMD 32 0:32 Melatonin 5 mg (4 wk) Melatonin vs placebo VAS 0-10: 4.7 ± 2.3 (MEL), 4.7 ± 2.1 (C) Sleep quality↑ Maximum pain last 24 h↓, analgesic consumption↓, PPDT↑ Maximum pain last night: 44.0% reduction de Zanette 201424 FM 63 0:63 Melatonin 10 mg (6 wk) Melatonin + placebo vs amitriptyline + placebo vs melatonin + amitriptyline VAS 0-100: 64.9 ± 15.4 (MEL), 62.9 ± 14.3 (C1), 69.6 ± 10.9 (C2) PSQI n.s. Pain intensity↓ (melatonin vs amitriptyline; melatonin + amitriptyline vs amitriptyline), analgesic consumption n.s., CPM-effect↑, PPDT↑ Melatonin group pain intensity: 26.8% reduction

*Mean ± SD.

†Change baseline—end of intervention or final follow-up.

‡No results provided, only comment in text.

ASES, arthritis self-efficacy scale; BL, baseline; BP, bodily pain; C, control; CLBP, chronic low back pain; CPM, conditioned pain modulation; ESS, Epworth Sleepiness Scale; ESZ, eszopiclone; FM, fibromyalgia; IBS, irritable bowel syndrome; ISI, Insomnia Severity Index; LSEQ, Leeds Sleep Evaluation Questionnaire; meds, medications; MEL, melatonin; M:F, male:female; MPQ, McGill Pain Questionnaire; N, number of randomized participants; NeuP, neuropathic pain; NR, not reported; NRS, Numeric Rating Scale; n.s., nonsignificant; PPDT, pressure pain detection threshold; PPI, present pain intensity; PSG, polysomnography; PSQI, Pittsburgh Sleep Quality Index; RA, rheumatoid arthritis; SE, sleep efficiency; SOL, sleep onset latency; TMD, temporomandibular disorder; TST, total sleep time; VAS, Visual Analogue Scale; VRS, Visual Rating Scale; WASO, wakefulness after sleep onset; ZOP, zopiclone.


3.2. Characteristics of included studies

An overview of RCTs examining analgesic effects of sleep-promoting medications in chronic pain populations is provided in Table 1. All studies were placebo-controlled. Eight studies were designed as single-site, parallel group RCTs,5,26,27,34,35,59,68,74 one study was a multicenter, parallel group RCT,54 and one study was a single-center, 3-group parallel RCT.24 Sample sizes of the 10 studies ranged from 32 to 153 (Table 1). Chronic pain populations included endometriosis-associated chronic pelvic pain,59 fibromyalgia,24,26,35 irritable bowel syndrome (IBS),68 chronic low back pain,34 mixed neuropathic pain conditions,5 rheumatoid arthritis,27,54 and painful temporomandibular disorders.74

An overview of outcome measures is provided in Appendix 2 (Supplementary Table 2, available at https://links.lww.com/PR9/A185). Three studies investigated the effects of melatonin vs placebo,59,68,74 2 studies investigated the effects of melatonin alone or adjuvant to other analgesic medications vs placebo with or without the same analgesic medications,5,24 3 studies evaluated the effects of zopiclone vs placebo,26,27,35 1 study investigated the effects of eszopiclone vs placebo,54 and 1 study examined the effects of eszopiclone adjuvant to analgesic medication vs placebo and the same analgesic medication.34

Pain intensity was reported in all 10 studies. Analgesic consumption was assessed in 5 studies. A descriptive and qualitative summary of outcome results are provided in Table 1.

3.3. Risk of bias assessment

A summary of risk of bias assessment according to the domain-based Cochrane tool is provided in Figure 2 and Appendix 3, available at https://links.lww.com/PR9/A185. Only 3 of 10 studies were deemed to be at low risk of bias5,24,74; 2 studies were labeled high risk of bias (due to attrition bias).34,35 Given that only 6 studies were included in the meta-analysis, we chose not to assess publication bias with funnel plots.

F2Figure 2.:

Summary of risk of bias assessment according to the domain-based Cochrane risk of bias tool.

3.4. Primary outcome: pain intensity

Minimum clinically significant pain reduction ≥30% was reported in 4 studies (Table 1).34,59,68,74 Data from 6 studies were pooled in meta-analyses; results from 4 studies were limited to qualitative synthesis due to inadequate reporting of outcome data (Table 1).24,26,35,68 Detailed information regarding the GRADE assessment of quality of evidence for each outcome is presented in Appendix 4, available at https://links.lww.com/PR9/A185.

3.4.1. Sleep-promoting medication in combination with analgesic vs analgesic alone or sleep-promoting medication vs placebo

There is low-quality evidence (downgraded due to inconsistency and imprecision) that 2 to 8 weeks treatment with a sleep-promoting medication (melatonin, zopiclone, or eszopiclone) alone or in combination with an adjuvant analgesic (gabapentin and naproxen) (6 trials, n = 397)5,27,34,54,59,74 decreases pain intensity compared with placebo or the same analgesic treatment alone (SMD −0.58 [−1.00, −0.17], P = 0.006) (Fig. 3).

F3Figure 3.:

Meta-analysis: Pain intensity after 2 to 8 weeks of treatment with sleep-promoting medication in combination with analgesic vs analgesic alone or sleep-promoting medication vs placebo. 95% CI, 95% confidence interval.

3.4.2. Sleep-promoting medication vs placebo

There is low-quality evidence (downgraded due to inconsistency and imprecision) that 2 to 8 weeks treatment with a sleep-promoting medication (melatonin, zopiclone, or eszopiclone; 4 trials, n = 265)27,54,59,74 does not reduce pain intensity compared with placebo (SMD −0.47 [−1.06, 0.12], P = 0.12) (Appendix 5, available at https://links.lww.com/PR9/A185).

3.4.3. Sleep-promoting medication in combination with analgesic vs analgesic alone

There is low-quality evidence (downgraded due to risk of bias and imprecision) that a sleep-promoting medication (melatonin or eszopiclone) in combination with an adjuvant analgesic (gabapentin) or an NSAID (naproxen) for 4 weeks (2 trials, n = 132)5,34 decreases pain intensity compared with the same analgesic treatment alone (SMD −0.78 [−1.14, −0.42], P < 0.0001) (Appendix 5, available at https://links.lww.com/PR9/A185).

3.5. Preplanned subgroup analyses related to the primary outcome measure 3.5.1. Pain intensity according to the pharmacologic intervention

Only one zopiclone trial provided sufficient data for meta-analysis.27 Owing to baseline differences in pain intensity, it was not possible to pool data from one melatonin study to perform meta-analysis of melatonin in combination with an adjuvant analgesic (amitriptyline) vs analgesic alone.24

3.5.1.1. Melatonin vs placebo

There is low-quality evidence (downgraded due to imprecision) that 4 to 8 weeks of melatonin treatment (2 trials, n = 72)59,74 reduces pain intensity compared with placebo (MD −1.76 [−2.49, −1.03], P < 0.0001) (Appendix 5, available at https://links.lww.com/PR9/A185).

3.5.1.2. Eszopiclone with or without analgesic vs placebo or analgesic alone

There is very low-quality evidence (downgraded due to risk of bias, inconsistency, and imprecision) that eszopiclone treatment for 4 weeks, with or without naproxen (2 trials, n = 205),34,54 does not decrease pain intensity compared with placebo or the same analgesic alone (SMD −0.54 [−1.34, 0.26], P = 0.18) (Appendix 5, available at https://links.lww.com/PR9/A185).

3.5.2. Pain intensity according to the chronic pain condition

Seven different chronic pain populations were examined in the 10 trials. Three trials included patients diagnosed with fibromyalgia; it was not possible to conduct meta-analyses of these trials due to inadequate reporting of outcome data in 2 trials.26,35 Meta-analyses of zopiclone or eszopiclone treatment for 2 to 4 weeks vs placebo in patients with rheumatoid arthritis (2 trials, n = 193)27,54 showed no significant effects on pain intensity (SMD −0.06 [−0.42, 0.29], P = 0.72; low-quality evidence, downgraded due to risk of bias and imprecision) (Appendix 5, available at https://links.lww.com/PR9/A185).

3.5.3. Pain intensity—only studies at low risk of bias

Three studies (all investigating melatonin) were deemed to be at low risk of bias.5,24,74 Owing to the reasons stated above, we were only able to pool data from 2 of these trials (n = 112).5,74 Meta-analysis of these studies (melatonin + gabapentin vs placebo + gabapentin and melatonin vs placebo) showed that melatonin alone or in combination with an analgesic (4–6 weeks treatment) decreases pain intensity compared with placebo or the same analgesic alone (SMD −0.71 [−1.09, −0.33], P = 0.0003) (Appendix 5, available at https://links.lww.com/PR9/A185).

3.6. Secondary outcome measures 3.6.1. Effects of sleep-promoting pharmacotherapy on analgesic consumption

Owing to heterogeneous methodologies and reporting of analgesic consumption outcomes, meta-analysis was not possible. Analgesic consumption was assessed in 5 trials. Three trials found no significant group differences regarding analgesic consumption,24,26,54 whereas 2 trials found significantly lower analgesic consumption in the intervention group compared with placebo.59,74 In 2 of the trials which found no significant differences in analgesic consumption, brief information was outlined in the text, with no numbers provided.26,54 Schwertner et al.59 found that 22.9% of patients in the melatonin group used supplementary analgesics (acetaminophen, ibuprofen, codeine, or tramadol) compared with 42.2% in the placebo group during the 8 week trial; the relative risk for using an analgesic ≥3 times per week was 80% higher for those receiving placebo compared with melatonin. In a similar study design, Vidor et al.74 found significantly lower adjusted daily mean analgesic consumption (acetaminophen, ibuprofen, codeine, or orphenadrine/dypirone/caffeine) in the melatonin group compared with placebo (0.10 [SD 0.36] vs 0.32 [0.58], P < 0.01; medications not specified).74

3.6.2. Analysis of association between pharmacologically induced changes in sleep variables and pain control

Analyses of associations between changes in sleep and pain outcomes were only provided in 2 articles.34,74 Goforth et al.34 found that improvement of sleep variables (self-reported WASO, SE, TST, and sleep quality) were associated with decreased pain intensity ratings (Spearman correlation analysis). By contrast, Vidor et al.74 found no significant associations between improvement of sleep quality and pain VAS scores (multivariate linear regression). In addition, Drewes et al.26 reported that there were no correlations between polysomnography outcomes and pain variables (in text only). Notably, pain intensity decreased in the sleep intervention group despite no clear beneficial effects on sleep measures in 2 melatonin trials,24,68 whereas 2 trials (melatonin and eszopiclone) showed beneficial effects on pain and sleep measures in parallell.54,59

3.6.3. Sleep and sleep-related measures

All 10 trials reported at least one sleep-related outcome measure (Appendix 2, Supplementary Table 2, available at https://links.lww.com/PR9/A185). Objective sleep assessment was only implemented in 3 trials.26,27,68 Two of the trials using polysomnography found no significant differences between groups,26,68 whereas 1 trial detected higher relative amounts of N2 sleep and lower delta power in patients receiving zopiclone compared with placebo (Table 1).27 Six trials showed that pharmacologic sleep intervention improved subjective sleep quality according to sleep diary or NRS or Insomnia Severity Index,26,27,34,54,59,74 whereas 4 trials (3/4 including more comprehensive sleep quality assessment through the Pittsburgh sleep quality index [PSQI]) found no significant differences between groups.5,24,35,68 Both eszopiclone trials which assessed self-reported sleep continuity parameters found significant decreases in SOL and WASO and increases in TST and SE for the intervention group as compared with the control group.34,54

3.6.4. Adverse events

Methods for assessment of adverse events were often poorly described and varied significantly between studies, from no specific details, spontaneous reporting, to structured assessment. Nine of 10 trials reported no serious adverse events (Appendix 2, Supplementary Table 3, available at https://links.lww.com/PR9/A185); only 1 trial reported “major” adverse events, but with no significant between-group differences.24 Two trials found that minor adverse events were more common in the sleep intervention group compared with the control group.27,35

3.6.5. Other relevant reported outcomes

Two trials found beneficial effects related to fatigue,5,26 whereas 1 trial found no significant effect on fatigue.27 One trial showed that eszopiclone in combination with analgesic decreased depression scores compared with analgesic alone,34 whereas 1 melatonin trial found no significant group differences in anxiety or depression scores.68 Five trials included QST for the assessment of pain neurophysiology.24,26,35,68,74 Three of 5 trials indicated salutary changes in pain thresholds related to sleep intervention (decreased rectal pain sensitivity68 and decreased pressure pain sensitivity24,74). One of these trials also evaluated conditioned pain modulation effects and found that melatonin alone or in combination with amitriptyline increased pain inhibitory capacity compared with amitriptyline alone.24 By contrast, 2 trials evaluating sleep intervention in patients with fibromyalgia found no significant effects on pressure pain thresholds.26,35

4. Discussion 4.1. Main findings

In the current systematic review, we found low-quality evidence that sleep-promoting pharmacotherapy may decrease pain intensity in patients with chronic pain. Pain relief exceeded the á priori defined minimum clinically significant level of at least 30% pain reduction in 4 of 10 studies.34,59,68,74 Overall, effect sizes were medium, except for melatonin vs placebo trials, where subgroup analyses demonstrated large effects (mean difference approximately −1.8 pain VAS units on a scale 0–10).59,74 Notably, findings from all 5 melatonin trials were positive, whereas all 3 zopiclone trials showed no pain-relieving effects. Conclusions are limited by the low number of included trials, with small sample sizes, and only 3 trials can clearly be labeled low risk of bias.

4.2. Does improvement of sleep mediate decreased pain intensity in chronic pain populations?

Although our results indicate potential benefits associated with short-term to medium-term (2–8 weeks) melatonin and eszopiclone treatment in patients with chronic pain, it is unclear whether analgesic effects are mediated by improved sleep quality, increased sleep quantity, altered sleep architecture, psychological factors, or other mechanisms. Pain-relieving effects were most consistent in melatonin trials, and only 2 of these 5 trials detected improvements in sleep quality. However, characterization of sleep was surprisingly poor in most trials; only 3 trials implemented objective sleep assessment, which severely limits interpretation of associations between changes in sleep measures and pain outcomes. Over the past decades, data from preclinical studies, longitudinal observational studies, clinical trials, and meta-analyses have shown that sleep and pain interrelate closely.2,4,9,11,30,44,64,66 Nevertheless, further research is needed to fully understand the impact of sleep disturbance on pain perception in various contexts.47,69 About 50% of people with persistent insomnia disorder suffer from chronic pain, and conversely, about half of patients with chronic pain meet criteria for persistent insomnia disorder.70 Although the mechanisms whereby dysregulation of sleep may heighten pain sensitivity, trigger spontaneous pain, increase risk for development of chronic pain, and exacerbate existing pain are not fully understood, several possible explanations have been proposed. Sleep disturbance can induce systemic inflammation,37,42 and systemic inflammation has been linked to elevated pain sensitivity in healthy subjects as well as in patients with chronic pain.38,57 Furthermore, poor sleep quality and short sleep duration are associated with increased mu opioid receptor (MOR)-binding potential during evoked pain,19 as well as decreased analgesic effect of morphine in healthy human subjects,67 indicating reduced analgesic efficacy of the opioid system. In addition, sleep loss can induce increased cortical availability of metabotropic glutamate receptors of subtype 5 (mGluR5), which are involved in both sleep–wake homeostasis and pain regulation, in humans.22,36 The mGluR5 is widely distributed within the human CNS, in particular in cortical regions and basal ganglia,52 and is coexpressed and forms heterodimers with MOR.3,62 In rodents, coadministration of a MOR agonist and an mGluR5 antagonist enhances antinociceptive effects and reduces MOR-induced tolerance and dependence.3,62 Hence, it could be hypothesized that alterations in the balance between MOR and mGluR5 receptors might account for some of the proalgesic effects induced by sleep loss. Moreover, sleep disturbance leads to detrimental psychological and behavioral effects, such as increased depressive and anxiety symptoms,39 decreased positive affect,31 increased attention to pain and pain helplessness,20 and decreased activity,43,48 which aggravate pain. Reciprocally, increased pain intensity negatively influences sleep homeostasis through increased sympathetic nervous system outflow, increased inflammation, and adverse effects of analgesics, eg, opioids.12,40 Hence, multitargeting of the sleep–pain interface, ie, treating sleep disturbance or pain, is likely to impact both sleep and pain beneficially.

4.3. Clinical implications: pharmacologic sleep intervention to target pain

Based on our results, adjuvant treatment with melatonin or eszopiclone may have a role as part of multimodal pain management in patients with chronic pain who suffer from sleep problems. Nevertheless, pharmacologic sleep intervention is considered second-line treatment of persistent insomnia symptoms, to be combined with cognitive behavioral therapy for insomnia (CBT-I).18 Congruent with our findings, recent meta-analytic data, based on 12 CBT-I trials in patients with chronic pain and comorbid insomnia, showed significant, albeit small, beneficial effects on pain intensity.60 Pharmacologic treatment is typically recommended for patients with acute insomnia (<3 months), and level of evidence for improvement of sleep in the management of insomnia is overall relatively weak, with small absolute effect sizes.77 A stepwise, tailored approach to improve sleep, possibly including both behavioral and pharmacologic sleep interventions, may be the most efficient strategy to enhance both sleep and pain outcomes, in addition to other physical and mental health benefits. As for all pharmacologic interventions, it is important to consider potential serious harms, especially during extended treatment periods. Given the small sample sizes, typically limited follow-up periods, and methodology for assessment of adverse events, it is not unlikely that side effects may have been underestimated in these tri

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