Literature DB >> 25288884

Sleep Disturbances in Individuals with Alcohol-Related Disorders: A Review of Cognitive-Behavioral Therapy for Insomnia (CBT-I) and Associated Non-Pharmacological Therapies.

Alyssa T Brooks1, Gwenyth R Wallen1.   

Abstract

Sleep disturbances are common among alcohol-dependent individuals and are often associated with relapse. The utility of behavioral therapies for sleep disturbances, including cognitive-behavioral therapy for insomnia (CBT-I), among those with alcohol-related disorders is not well understood. This review systematically evaluates the evidence of CBT-I and related behavioral therapies applied to those with alcohol-related disorders and accompanying sleep disturbances. A search of four research databases (PubMed, PsycINFO, Embase, and CINAHL Plus) yielded six studies that met selection criteria. Articles were reviewed using Cochrane's Grades of Recommendation, Assessment, Development, and Evaluation (GRADE) scoring system. A majority of the studies demonstrated significant improvements in sleep efficiency among behavioral therapy treatment group(s), including but not limited to CBT-I. While behavioral sleep interventions have been successful in varied populations, they may not be utilized to their full potential among those with alcohol-related disorders as evidenced by the low number of studies found. These findings suggest a need for mixed-methods research on individuals' sleep experience to inform interventions that are acceptable to the target population.

Entities:  

Keywords:  CBT-I; alcohol disorders; alcoholism; cognitive-behavioral therapy for insomnia; insomnia; sleep disturbances

Year:  2014        PMID: 25288884      PMCID: PMC4179428          DOI: 10.4137/SART.S18446

Source DB:  PubMed          Journal:  Subst Abuse        ISSN: 1178-2218


Introduction

Insomnia is defined at the most basic level as difficulty falling or staying asleep.1 Estimates suggest that up to one-third of the U.S. population is currently sleep deprived.2 Nearly 40% of respondents of the national behavioral risk factor surveillance system (BRFSS) survey indicated that they had unintentionally fallen asleep during the day at least once in the past month. Inadequate sleep can affect multiple aspects of a person’s health and well-being, thus making it a major “quality of life” concern. Furthermore, poor sleep quality can precede unhealthy behaviors such as drowsy driving, which have the potential to cause serious injury or death.3

Sleep Disturbances and Chronic Disease

Individuals suffering with chronic diseases may be at an increased risk of sleep disturbances, which for the purposes of this paper are interchangeable with the term impaired sleep quality. Cardiovascular disease and mental health problems are just two of many chronic diseases associated with sleep problems.4,5 Depression, heart disease, and chronic pain are associated with more prevalent symptoms of insomnia, while obesity, arthritis, and osteoporosis are associated with other sleep-related problems including snoring, restless legs, or daytime sleepiness. Individuals suffering with chronic diseases who have abnormalities of sleep duration (sleeping too much or too little), which is independent of, but related to insomnia as a clinical diagnosis, are at increased risk of obesity, mental distress, coronary heart disease, stroke, and diabetes.6 Specifically, insomnia with short sleep duration has been associated with increased risk of hypertension,7 diabetes,8 and for men, overall mortality.9 Chronic diseases are frequently accompanied by a range of complex comorbidities and health-related quality of life (HRQOL) issues; thus, sleep quality may be particularly important for clinicians and researchers to consider in these populations.

Sleep Disturbances Among Alcoholics

Alcoholism is a chronic and typically progressive disease10 with the potential to severely compromise individual and societal well-being. The nature of alcoholism calls for a “sustained recovery management model”11 that is holistic in nature, taking into account associated comorbidities and overall quality of life. Alcohol misuse and sleep disturbances often occur simultaneously, but their relationship is not well understood.12 Among alcoholics, sleep disturbances are common during phases of active drinking, withdrawal, and abstinence.13 Sleep problems may originate prior to the development of clinical alcoholism, as evidenced by insomnia that persists for weeks or months following abstinence.14 However, whether or not one consistently precedes the other has yet to be established. Ford and Kamerow demonstrated that individuals who met the Diagnostic and Statistical Manual of Mental Disorders, 3rd edition (DSM-III) criteria for alcohol abuse and dependence were more likely to report ever experiencing a period of two or more weeks of insomnia compared to non-dependent individuals.15 Weissman and colleagues demonstrated that those with insomnia (and no other psychiatric condition) in the past year were more than twice as likely to develop alcohol abuse problems over the subsequent year compared to those without either condition.16 Some evidence indicates that sleep problems originating in early childhood may increase the risk for early onset alcohol use.17 Any level of drinking has the potential to negatively impact sleep. Sleep disturbances are particularly common among those who are alcohol dependent during the early stages of recovery and are even more common among those with comorbid depression.18 Insomnia can persist in patients despite abstinence. Alcohol use can negatively affect sleep composition and lead to increased nightmare frequency, snoring, and other sleep interruptions.19 Despite causal mechanisms remaining unclear, the association between poor sleep and alcohol consumption is supported by a growing body of evidence.15,20,21

The Role of Quality Sleep in Preventing Relapse

Getting quality sleep is not only an important component of a healthy lifestyle but may also prevent relapse in recovering alcoholics. Both objectively- and subjectively-measured sleep disturbances among alcoholics in various phases of recovery have the potential to increase the risk of relapse.19,22 Among treatment-seeking alcohol-dependent individuals, baseline sleep problems upon entering treatment may predict subsequent relapse to drinking.22 Sleep disturbances after detoxification are also common. Many alcoholics report sleep disturbances following abstinence, which may persist for up to 5 weeks of abstinence.23 Some research suggests that abnormal sleep may persist for months to years during the recovery and abstinence process.24,25 The role and implications of insomnia in various phases of alcoholism (drinking, withdrawal, early/prolonged abstinence) are not yet clear, but one clinical trial currently underway seeks to elucidate this concept (NCT02181569: Sleep Disturbance and Relapse in Individuals with Alcohol Dependence: An Exploratory Mixed Methods Study). Thus, improving sleep among alcohol-dependent individuals is increasingly of interest to researchers, clinicians, and patients alike.

Cognitive-Behavioral Therapy for Insomnia (CBT-I)

Behavioral sleep interventions addressing underlying beliefs and behaviors have been successful in varied populations and have fewer side effects than pharmacological treatments.26 However, when sleep restriction is included as part of the non-pharmacological regimen, providers should be vigilant for any untoward side effects.27 A review of the use of CBT for primary insomnia revealed that CBT is superior to any single-component treatment and can improve sleep efficacy, sleep-onset latency, and wake after sleep onset, in addition to reducing sleep medication use.28 CBT-I targets behaviors, cognitions, and associations that negatively affect sleep, and it is undoubtedly the most common and well-accepted non-pharmacological treatment for insomnia.29 CBT-I interventions can vary, but may include education on sleep information, sleep hygiene and relaxation techniques, sleep scheduling, developing strong sleep patterns, and cognitive techniques designed to change mental approaches to sleep.30 Sleep restriction (limiting time spent awake in bed), stimulus control, and addressing distorted beliefs about sleep can also be included.30,31 CBT-I has been utilized to improve sleep for individuals with various conditions, including moderate-to-severe chronic pain.32 CBT-I has also reduced the extent to which pain interfered with daily functioning among chronic pain sufferers.33 A version of CBT-I combined with sleep hygiene education has demonstrably improved sleep and decreased cognitive arousal over time.34 Another study wherein patients received progressively reduced 4-week pharmacotherapy or a combination of self-help and pharmacotherapy found that those utilizing self-help showed significantly more improvements in sleep quality and negative sleep-related cognitions. Regular appointments and sleep logs had a positive influence on sleep outcomes for these participants.35 Although one review article concluded that CBT-I is a promising treatment for individuals with medical and psychiatric comorbidities,36 evidence on the efficacy of these types of interventions specifically among patients with alcohol-related disorders is scarce.

Treatment Options for Individuals with Alcohol-related Disorders and Comorbid Sleep Disturbances

Both pharmacological and behavioral treatment options exist for individuals with alcohol-related disorders suffering from sleep disturbances, although pharmacological interventions are used more often. A survey of members of the American Society of Addiction Medicine (ASAM) revealed that 64% of physicians have recommended some type of pharmacological treatment (prescription or over-the-counter) to an alcoholic patient suffering from insomnia within 3 months of their detoxification, although a much smaller proportion do so consistently for the majority of their patients.36 Despite the utilization of pharmacological treatment, non-pharmacological therapies may also be effective and should be given careful consideration in this population.37 Non-drug treatments for insomnia, specifically CBT-I, may have long-term benefits as opposed to pharmacologic sleep aids, which often have side effects and are only recommended for short-term use.38,39 The benefits of CBT-I may extend beyond treatment of insomnia, providing benefits to non-sleep issues, such as overall well-being and depressive symptom severity.40 In general, mind–body interventions, including tai chi, music therapy, yoga, relaxation, and CBT, may improve sleep quality and reduce the need for hypnotic drugs.41 The purpose of this review is to describe the available behavioral treatments for individuals with alcohol-related disorders suffering with various sleep disturbances and to elucidate the gaps that exist in the literature and research knowledge-base related to behavioral sleep interventions.

Methods

The GRADE system, adopted by the World Health Organization (WHO) and Cochrane, was utilized for this review.42 We conducted a search in PubMed, PsycINFO, Embase, and CINAHL Plus between September 2013 and June 2014 for peer-reviewed journal articles written in English and published since January 1998. We sought to identify research studies that examined non-pharmacological interventions for sleep among individuals with alcohol-related disorders. After first searching for all sleep initiation and maintenance interventions, we discovered that fewer than half of all search results that included sleep interventions or therapies were non-pharmacological in nature. A considerable number of CBT-I articles were found in varying populations (not specific to alcoholism, n = 365). When we limited the search to interventions only in alcohol-related disorders, 20 articles were retrieved (PubMed search terms: (“sleep initiation and maintenance disorders/th OR sleep initiation and maintenance disorders/dt) & alcohol-related disorders [mh]”). To further develop a comprehensive evidence base, reference lists of relevant articles were hand searched by the authors. Refer to Figure 1 for a flowchart of the process resulting in the articles reviewed herein. All behavioral sleep interventions, including CBT-I and/or progressive relaxation training, among individuals with alcohol-related disorders are included in Table 2, which illustrates pertinent study details including sample size, demographic characteristics of participants, and basic methodological approach for each study (n = 6).
Figure 1

Flowchart of literature search.

Table 2

Non-pharmacologic sleep interventions for individuals with alcohol-related disorders: selected articles and findings.

AUTHOR/YEARSAMPLEINTERVENTIONSLEEP MEASURESMETHOD OF DELIVERYKEY FINDINGSLIMITATIONSRATING
Arnedt et al., 2007n = 7, 43% female, 38.6 years (± 10.8), 85.7% caucasian, alcohol-dependent (based on DSM-IV)8 individual CBT-I sessionsDaily sleep diaries, Insomnia Severity IndexIn-personImprovements in depression / anxiety, fatigue, sleep efficiency, QOLNo control group, no follow-up assessmentsLow
Arnedt et al., 2011n = 17, 35% female, 46.2 years (± 10.1), 77.8% caucasian, alcohol-dependent9 individual CBT-I for AD treatmentsDaily sleep diaries, Insomnia Severity IndexIn-personSleep efficiency, WASO, general fatigue improved in treatment group40% attrition, self-reported dataModerate
Bootzin and Stevens, 2005 (and Britton et al., 2010)*n = 55, 38% female, 16.35 years (± 1.23), 2/3 caucasian, recent completers of OP substance abuse treatment programs6 therapy sessions including MBSR, CBT-I components, bright light therapyDaily sleep diaries, actiwatches during baseline and posttreatment, dim light melatonin onset (in lab)In-personImproved SE, SOL, WASO, total sleep time, and diary ratings on quality / soundness of sleep among those who completed 4+ sessions - mindful-ness meditation practice frequency associated with improvements in sleep, emotional distress, reduced substance useNo control condition, conducted among adolescents only, bright light therapy’s effect on sleep-related outcomes unclearLow
Currie et al., 2004n = 60, 30% female, 43.3 years (± 10.9), diagnosed with alcohol dependence, variation in length of remission3 treatment conditions which included a CBT-I arm (5 one-hour sessions of individual therapy)Sleep diaries, PSQI, SII, actigraphyIn-personImproved sleep quality, sleep efficiency, SOL, and WASO maintained for 6 months post-treatment; not corroborated by actigraphy30% had 12 months or more of pre-treatment abstinence, improvements in sleep still put people in dysfunctional range even after 6 monthsHigh
Greeff and conradie, 1998n = 37, 0% female, 45.5 years (± 9.5), diagnosed with alcoholism (DSM-III-R?)10 sessions of progressive relaxation training offered by a psychologistQuestionnaire designed by Tworetzky (1975) - assessing history and treatment for sleep problems, sleep diaryIn-personTreatment group had significant difference in sleep quality pre- and post-treatmentOnly men, no follow-up assessments, did not control for possible effects of other treatmentsModerate

Notes:

Given the paucity of literature on behavioral sleep interventions, we included this study in our review despite the fact that the sample was younger than that of the other studies, so interpretation of results may differ. Additionally, the participants in this study were in treatment for general substance abuse (many were multi-drug users, though virtually all reported ever using alcohol).

Results

The GRADE system for review was utilized to assess each article’s quality of evidence (see Table 1 for an explanation of each level). In our assessment, “high” ratings were reserved for well-conducted randomized trials or very strong observational studies, “moderate” ratings were reserved for randomized trials with some methodological weaknesses or strong observational studies, “low” ratings were reserved for very weak randomized trials or observational studies, and “very low” ratings were reserved for weak observational studies or case reports. No articles were ranked as “very low.” In total, two articles were rated as “low,” three articles were rated as “moderate,” and only one article was rated as “high.” One randomized controlled trial (RCT) assessed the effectiveness of CBT on improving sleep and reducing relapse in recovering alcohol-dependent patients. Diary-rated sleep efficiency, wake after sleep onset, and daytime ratings of general fatigue improved more in the treatment group compared to the control.43 Another RCT assessed the effectiveness of progressive relaxation training, and the treatment group experienced improved sleep quality.36 Four of the five studies demonstrated significant improvements in sleep efficiency for the CBT-I treatment groups.43–46 When sleep was examined more comprehensively in 2005 by Bootzin and Stevens45 and in 2011 by Arnedt and colleagues46 and Britton and colleagues,47 sleep-onset latency, wake after sleep onset, and measures of general fatigue were significantly lower in treatment groups. Other outcomes achieved in the studies included decreased depression, anxiety, and fatigue as well as higher subjective quality of life.
Table 1

Levels of quality of a body of evidence in the GRADE approach.

UNDERLYING METHODOLOGYQUALITY RATING
Randomized trials; or double-upgraded observational studies.High
Downgraded randomized trials; or upgraded observational studies.Moderate
Double-downgraded randomized trials; or observational studies.Low
Triple-downgraded randomized trials; or downgraded observational studies; or case series/case reports.Very low

Note: Adapted from: http://handbook.cochrane.org/chapter_12/table_12_2_a_levels_of_quality_of_a_body_of_evidence_in_the.htm

Methods of non-pharmacological sleep intervention delivery

To expand our search and examine the use of behavioral sleep interventions in other populations, we examined several other factors with regard to intervention delivery. As with any population suffering with a complex chronic disease, consideration of the feasibility and acceptability of an intervention among the individuals struggling with alcohol dependence is imperative. In addition to a call for more behavioral sleep intervention research and resources comes a call for “alternative” and integrated delivery methods (brief protocols, self-help, Internet, etc.) to increase access to and acceptability of these highly effective treatments.48 See Table 3 for selected examples of methods of delivery for non-pharmacological sleep interventions.49–59
Table 3

Methods of non-pharmacologic sleep intervention delivery.

METHODAUTHORS / YEARRESULTS
Telephone-delivered CBT-ITroxel, Germain, and Buysse, 2012Developed briefer alternative to standard CBT-I intervention including two phone sessions to address barriers to widespread dissemination of the therapy44
Arnedt et al., 2013CBT-I delivered by phone was more beneficial than information (pamphlet) control; more CBT-I phone participants showed improvements in unhelpful sleep-related cognitions and were classified as “in remission” from insomnia at follow-up45
Computerized therapy for insomniaCheng and Dizon, 2012Meta-analysis concluded that computerized CBT-I (cCBT-I) is a “mildly to moderately effective” self-help therapy for short-term treatment of insomnia; average number of sessions needed for treatment was 3.59; estimated that one in every four patients treated with computerized CBT-I will recover from chronic insomnia46
Ritterband et al., 2009Internet intervention for insomnia group experienced significantly better sleep compared to control group; internet has potential for delivery of structured behavioral programs for insomnia47
Ritterband et al., 2012Internet-based CBT-I program to improve insomnia symptoms (among cancer survivors) using components of CBT-I including sleep restriction, stimulus control, cognitive restructuring, sleep hygiene, and relapse prevention; intervention significantly improved insomnia severity, sleep efficiency, sleep onset latency, general fatigue48
Riley et al., 2010Designed automated program delivering stimulus control and sleep restriction strategies; well-accepted and well-utilized by patients with primary insomnia49
Espie et al., 2012Web-based CBT course delivered via virtual therapist with automated support & a community forum; effective in improving sleep and associated daytime functioning of adults with insomnia; improvements maintained over time50
Lancee et al., 2012Assessed self-help for insomnia program and found that electronic and paper/pencil treatment conditions significantly better than control group on insomnia symptoms, daily sleep measures, depression, and anxiety; improvements maintained over 48-week follow-up51
Vincent and Lweycky, 20095-week online CBT-I course for adults with chronic insomnia consisting of psychoeduction, sleep hygiene, stimulus control, sleep restriction, relaxation training, cognitive therapy, and medication tapering assistance; online treatment group experienced significant improvements in sleep quality, insomnia severity, and daytime fatigue52
Vincent and Walsh, 2009Hyperarousal and time awake in bed partially mediated impact of computerized CBT on sleep at follow-up; pre-sleep arousal more significant in explaining change associated with computerized CBT-I53
Smartphones for behavioral sleep interventionsBehar et al., 2013Smartphone “apps” offer digital versions of questionnaires about sleep, infer nighttime wakefulness from body movement measured through accelerometer, monitor sound of snoring, help with sleep apnea; “powerful tools that offer both computational and communication opportunities which can be leveraged for the benefit of healthcare”54

Alternative delivery of health interventions

Psychosocial and health behavior therapies have been successfully implemented in populations with alcoholism and other conditions. Ecological momentary interventions (EMI), which are a real-time intervention delivery mechanism, have been effectively implemented and are acceptable to patients for a variety of health behaviors, and physical and psychological symptoms.60 Behavior change interventions delivered via text message or the Internet have been successfully implemented in “hard-to-reach” populations including socially disadvantaged men,61 those with comorbid alcohol use disorder and depression,62 and those in the criminal justice system.63 One smartphone application designed to support sustained recovery from alcoholism was successful in reducing risky drinking days among individuals recently discharged from residential treatment.64 These interventions can be based on existing health behavior theories or incorporated into evidence-based models of treatment. With the exponential growth in communication technology, landline telephones, computers, and smartphones all have the potential to serve as vessels for the delivery of non-pharmacological sleep interventions and may be considered viable mechanisms for transitioning care from inpatient to outpatient among alcoholics in a patient-centered way. For example, telephone-delivered CBT-I intervention sessions may decrease the need for physical presence of a therapist which has the potential to increase patient access to this treatment. This finding could be particularly relevant for hard-to-reach populations, such as rural-dwelling individuals.65 Some researchers and clinicians posit that the key feature that makes computerized (and other forms of) CBT-I promising is decreased reliance on a therapist, but further research is necessary. Recovering alcoholics who are unable to attend outpatient meetings following inpatient treatment, as we have experienced in our own clinic, may be more amenable to interventions delivered via phone or Internet.

Discussion

The studies in this systematic review of the literature provide substantial evidence for non-pharmacological sleep interventions being effective and largely accepted when tailored appropriately. While CBT-I is undoubtedly the most common type of treatment both prescribed and investigated, its utilization among those with alcohol-related disorders is not extensive and therefore remains relatively inconclusive. Small sample sizes and methodological weaknesses of the behavioral sleep interventions reviewed limit conclusions regarding intervention efficacy and highlight the need for patient-centered, formative work. Larger sample sizes and following individuals through the transition from inpatient to outpatient could also benefit alcoholic patients with sleep disturbances and their varying needs post-discharge. Exploring this issue of improving sleep during treatment and sustaining improved sleep through discharge may have unique implications for relapse prevention. Emergent therapies should be evidence based with established feasibility and acceptability to patients. An area for future work to move closer to understanding feasibility and acceptability of sleep interventions may be conducting mixed-methods research wherein patient perspectives are sought and explored in-depth. Peer-reviewed, published studies using mixed-methods to examine sleep are few in number, but contribute to our knowledge of disease-or population-specific sleep issues and patient preferences for interventions.66–71 Qualitative data provide a deeper understanding of the individual experience. In order to understand complex phenomena such as sleep disturbances and alcohol dependence from treatment into recovery, qualitative research that is naturalistic and subjective in nature combined with deductive quantitative techniques moves beyond traditional approaches and has the potential to increase our knowledge-base.72 One study, which utilized qualitative methods, found some evidence that building trust and improving the program functionality can improve adherence to computerized CBT-I.73 Patient preference for the use of technology in their treatment and recovery is arguably not well understood. Given the success of varying methods of delivery particularly for CBT-I, these could be particularly useful and relevant for individuals undergoing the transition from inpatient to outpatient status during alcohol rehabilitation, but thorough pilot work is required to assess the efficiency of these technologies and approaches. Future interventions should consider unique challenges associated with the delivery of these behavioral treatments among individuals with alcohol-related problems (social and economic barriers, issues related to access to care, legal implications such as incarceration), which might only be brought to light by in-depth, pilot, mixed-method studies.

Conclusions and Future Research

The results of studies discussed in this paper provide the framework for a fundamentally homogenous message: evidence-based non-pharmacological sleep interventions can be effective and largely accepted when tailored appropriately. Despite considerable evidence for CBT-I efficacy with various methods of delivery, very few are specific to those with alcohol-related disorders and even fewer are specific to those with alcohol dependence. The potential importance of mind–body interventions and cognitive-behavioral strategies should not be overlooked among individuals with chronic diseases such as alcoholism given the comorbidities and disease burden that accompany this complex disease. Further studies of behavioral therapies with larger sample sizes and well-designed interventions are necessary, especially to elucidate the potential for these therapies to reduce relapse rates among alcoholics. Understanding the individual’s experience with sleep throughout recovery is important to explicate the acceptability of established, effective behavioral interventions that reflect sustainable and individualized care.
  65 in total

1.  EEG sleep studies in "pure" primary alcoholism during subacute withdrawal: relationships to normal controls, age, and other clinical variables.

Authors:  J C Gillin; T L Smith; M Irwin; D F Kripke; M Schuckit
Journal:  Biol Psychiatry       Date:  1990-03-01       Impact factor: 13.382

Review 2.  Sleep in psychiatric disorders.

Authors:  R M Benca
Journal:  Neurol Clin       Date:  1996-11       Impact factor: 3.806

3.  Internet-delivered or mailed self-help treatment for insomnia?: a randomized waiting-list controlled trial.

Authors:  Jaap Lancee; Jan van den Bout; Annemieke van Straten; Victor I Spoormaker
Journal:  Behav Res Ther       Date:  2011-10-24

4.  Sleep practices, attitudes, and beliefs in inner city middle school children: a mixed-methods study.

Authors:  Judith A Owens; Jessica Stahl; Alison Patton; Uha Reddy; Megan Crouch
Journal:  Behav Sleep Med       Date:  2006       Impact factor: 2.964

5.  Patients' and clinicians' experiences and perceptions of the primary care management of insomnia: qualitative study.

Authors:  Zowie Davy; Jo Middlemass; Aloysius N Siriwardena
Journal:  Health Expect       Date:  2013-08-19       Impact factor: 3.377

6.  A randomized, placebo-controlled trial of online cognitive behavioral therapy for chronic insomnia disorder delivered via an automated media-rich web application.

Authors:  Colin A Espie; Simon D Kyle; Chris Williams; Jason C Ong; Neil J Douglas; Peter Hames; June S L Brown
Journal:  Sleep       Date:  2012-06-01       Impact factor: 5.849

7.  Integrating a Behavioural Sleep Intervention into Smoking Cessation Treatment for Smokers with Insomnia: A Randomised Pilot Study.

Authors:  Lisa M Fucito; Nancy S Redeker; Samuel A Ball; Benjamin A Toll; Jolomi T Ikomi; Kathleen M Carroll
Journal:  J Smok Cessat       Date:  2014-06

8.  Insomnia with objective short sleep duration is associated with a high risk for hypertension.

Authors:  Alexandros N Vgontzas; Duanping Liao; Edward O Bixler; George P Chrousos; Antonio Vela-Bueno
Journal:  Sleep       Date:  2009-04       Impact factor: 5.849

9.  Sleep restriction therapy for insomnia is associated with reduced objective total sleep time, increased daytime somnolence, and objectively impaired vigilance: implications for the clinical management of insomnia disorder.

Authors:  Simon D Kyle; Christopher B Miller; Zoe Rogers; A Niroshan Siriwardena; Kenneth M Macmahon; Colin A Espie
Journal:  Sleep       Date:  2014-02-01       Impact factor: 5.849

10.  Can text messages reach the parts other process measures cannot reach: an evaluation of a behavior change intervention delivered by mobile phone?

Authors:  Linda Irvine; Donald W Falconer; Claire Jones; Ian W Ricketts; Brian Williams; Iain K Crombie
Journal:  PLoS One       Date:  2012-12-26       Impact factor: 3.240

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1.  Effect of suvorexant on event-related oscillations and EEG sleep in rats exposed to chronic intermittent ethanol vapor and protracted withdrawal.

Authors:  Manuel Sanchez-Alavez; Jessica Benedict; Derek N Wills; Cindy L Ehlers
Journal:  Sleep       Date:  2019-04-01       Impact factor: 5.849

Review 2.  Insomnia treatment in the context of alcohol use disorder: A systematic review and meta-analysis.

Authors:  Mary Beth Miller; Marissa L Donahue; Kate B Carey; Lori A J Scott-Sheldon
Journal:  Drug Alcohol Depend       Date:  2017-10-20       Impact factor: 4.492

Review 3.  Alcohol Dependence and Its Relationship With Insomnia and Other Sleep Disorders.

Authors:  Subhajit Chakravorty; Ninad S Chaudhary; Kirk J Brower
Journal:  Alcohol Clin Exp Res       Date:  2016-10-05       Impact factor: 3.455

4.  Relationships between potentially traumatic events, sleep disturbances, and symptoms of PTSD and alcohol use disorder in a young adult sample.

Authors:  Mackenzie J Lind; Allison Baylor; Cassie M Overstreet; Sage E Hawn; Bruce D Rybarczyk; Kenneth S Kendler; Danielle M Dick; Ananda B Amstadter
Journal:  Sleep Med       Date:  2017-03-18       Impact factor: 3.492

5.  Effect of gabapentin on sleep and delta and theta EEG power in adult rats exposed to chronic intermittent ethanol vapor and protracted withdrawal during adolescence.

Authors:  Cindy L Ehlers; Manuel Sanchez-Alavez; Derek Wills
Journal:  Psychopharmacology (Berl)       Date:  2018-03-27       Impact factor: 4.530

Review 6.  Non-pharmacological Approaches for Management of Insomnia.

Authors:  Ngan Yin Chan; Joey Wing Yan Chan; Shirley Xin Li; Yun Kwok Wing
Journal:  Neurotherapeutics       Date:  2021-04-05       Impact factor: 7.620

Review 7.  Needed Relapse-Prevention Research on Novel Framework (ASPIRE Model) for Substance Use Disorders Treatment.

Authors:  Udi E Ghitza
Journal:  Front Psychiatry       Date:  2015-03-06       Impact factor: 4.157

Review 8.  ASPIRE Model for Treating Cannabis and Other Substance Use Disorders: A Novel Personalized-Medicine Framework.

Authors:  Udi E Ghitza
Journal:  Front Psychiatry       Date:  2014-12-08       Impact factor: 4.157

Review 9.  Sleep and Alcohol Use in Women.

Authors:  Sarah M Inkelis; Brant P Hasler; Fiona C Baker
Journal:  Alcohol Res       Date:  2020-07-16

10.  Critical Transitions: A Mixed Methods Examination of Sleep from Inpatient Alcohol Rehabilitation Treatment to the Community.

Authors:  Alyssa Todaro Brooks; Michael Krumlauf; Craig S Fryer; Kenneth H Beck; Li Yang; Vijay A Ramchandani; Gwenyth R Wallen
Journal:  PLoS One       Date:  2016-08-29       Impact factor: 3.240

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