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Journal of Studies on Alcohol and Drugs logoLink to Journal of Studies on Alcohol and Drugs
. 2022 Jul 18;83(4):470–479. doi: 10.15288/jsad.2022.83.470

Management of Post-Acute Alcohol Withdrawal: A Mixed-Studies Scoping Review

Anees Bahji a,*, David Crockford a, Nady El-Guebaly a
PMCID: PMC9798381  PMID: 35838423

Abstract

Objective:

This article reviews research on post-acute alcohol withdrawal syndrome (PAWS) management.

Method:

We conducted a PRISMA (Preferred Reporting Items for Systematic Revision and Meta-Analyses)-guided scoping review of the published PAWS literature, searching six electronic databases (from their inception through December 2020) for English-language randomized and nonrandomized studies.

Results:

A total of 16 treatment studies met the inclusion criteria. The strength of evidence overall for pharmacologic treatments is low, with often only short-term results being reported, small treatment samples used, or inconsistent results found. However, for negative affect and sleep symptoms, more evidence supports using gabapentinoids (gabapentin and pregabalin) and anticonvulsants (carbamazepine and oxcarbazepine). Although preliminary data support acamprosate, there were no controlled trials. Despite an older treatment trial showing some positive data for amitriptyline for mood, the clinical measures used were problematic, and side effects and safety profile limit its utility. Finally, there is no evidence that melatonin and other agents (homatropine, Proproten-100) show PAWS symptoms.

Conclusions:

Although there is some evidence for targeted pharmacotherapy for treating specific PAWS symptoms, there are few recent, robust, placebo-controlled trials, and the level of evidence for treatment efficacy is low.


Individuals with alcohol use disorders (AUDs) frequently cycle between drinking and withdrawal states (GBD 2016 Alcohol and Drug Use Collaborators, 2018). The Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5; American Psychiatric Association [APA], 2013), defines alcohol withdrawal syndrome (AWS) as the development of two or more of the following symptoms within hours to a few days of cessation of or reduction of heavy alcohol use: autonomic hyperactivity (sweating, fast pulse), increased hand tremor, insomnia, nausea and vomiting, transient hallucination or illusions, psychomotor agitation, anxiety, and grand mal seizures (APA, 2013). AWS symptoms are caused by increased central N-methyl-D-aspartate (NMDA) glutamate transmission with diminished intrinsic gamma-aminobutyric acid (GABA)-ergic neurotransmission (Huang et al., 2014). AWS treatment focuses on the relief of immediate symptoms, prevention of complications, and rehabilitation initiation (American Society of Addiction Medicine [ASAM], 2020; Heilig et al., 2010). Placebo-controlled trials suggest benzodiazepines, β-adrenergic receptor antagonists (β-blockers), calcium channel blockers, anticonvulsants, and clonidine improve AWS (Amato et al., 2011; ASAM, 2020; Berglund et al., 2003; Soyka et al., 2008).

Although acute AWS symptoms usually last for only a few days up to a week, some symptoms can persist, including anxiety, depression, irritability, cognitive dysfunction, cravings for alcohol, sleep disturbance, fatigue, and autonomic irregularities (Bokhan et al., 2003; De Soto et al., 1985; Stojek et al., 1990; Vik et al., 2004; Voltaire-Carlsson et al., 1996; Watanabe et al., 2001). These symptoms—termed post-acute withdrawal syndrome (PAWS)—were first described more than six decades ago (Satel et al., 1993). In 1954, Wellman described “late withdrawal symptoms” in abstinent alcoholic-dependent persons, which consisted of irritability, depression, insomnia, fatigue, restlessness, and distractibility, constituting a physical syndrome most severe during the first 6 months of abstinence (Wellman, 1954). Building on Wellman's findings, Segal and colleagues (1970) were the first to coin the term “protracted withdrawal syndrome” in 1960, describing neurovegetative and emotional instability symptoms persisting long after acute withdrawal had subsided. Following Segal, Kissin (1979) described several protracted alcohol abstinence syndrome cases in 1979, emphasizing their importance to relapse prevention.

PAWS has been a relatively neglected topic (De Soto et al., 1985), and few recent scientific studies support its existence. Consequently, the notion of PAWS remains highly controversial (Satel et al., 1993). Although it has not yet gained formal recognition by the DSM (APA, 2013) or the International Classification of Disease (ICD; Hughes, 1994), PAWS has been informally recognized as a high-risk interval for return to alcohol consumption following abstinence (Melemis, 2015). Accordingly, randomized controlled trials have shown that initiating AUD treatment following acute detoxification with acamprosate, carbamazepine, and trazodone (Beleslin, 1991; Le Bon et al., 2003; Mueller et al., 1997; Wilde & Wagstaff, 1997) or cognitive behavioral therapy (Hori et al., 2005) may reduce risk. However, these studies have not formally emphasized the notion of PAWS (Potgieter et al., 1999). Furthermore, as most extant AWS studies are limited to acute withdrawal treatment, further research remains needed regarding the post-acute withdrawal abstinent period (Williams & Mc-Bride, 1998).

Consequently, the goal of this article was to summarize the extant literature examining the treatment (pharmacological and nonpharmacological) of PAWS.

Method

Protocol and registration

We registered our study protocol with the PROSPERO database of reviews (CRD42020208946; National Institute for Health Research, 2019). We adhered to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines (Liberati et al., 2009) but made some adjustments because the review was a scoping review rather than a full systematic review. As a review of published data, we did not require ethics approval.

Definition of post-acute withdrawal

Although there are no consensus definitions of PAWS in the extant literature, the ASAM 2020 clinical practice guidelines describe “protracted alcohol withdrawal” as subacute symptoms of irritability, anxiety, and sleep disturbance that persist beyond 30 days from the start of acute withdrawal (ASAM, 2020). However, as this definition is relatively recent and inconsistent with the timelines of the symptoms considered by most articles that pertain to protracted withdrawal, we applied a more liberal definition, including any study that evaluated symptoms persisting beyond the acute withdrawal phase and without restriction to a particular cluster of symptoms.

Eligibility criteria

We restricted eligibility to human adult populations (ages ≥ 18 years), examining any pharmacological (e.g., medications) or nonpharmacological (e.g., psychotherapy) interventions for the treatment of PAWS. We restricted eligibility to English-language articles or those with an available English-language translation. We considered randomized controlled trials and nonrandomized intervention studies (e.g., pre–post studies). We excluded commentaries, reviews, editorials, and case reports; we did not restrict the study's data or location.

Information sources and search

In collaboration with a health sciences research librarian, we developed a comprehensive search strategy using combinations of terms related to “alcohol,” “post-acute,” “withdrawal,” and “protracted” in PubMed, MEDLINE, EMBASE, and PsycINFO from the date of their inception to December 2020. In addition, we supplemented the electronic database searches with manual searches of all eligible articles’ reference lists and previous reviews for additional studies.

Study selection

We reviewed studies for eligibility using Covidence, a web-based review manager, and Zotero citation manager (Roy Rosenzweig Center for History and New Media, 2018; Veritas Health Innovation, 2019). After removing duplicates, one reviewer (A.B.) independently selected the studies, reviewed the main reports and supplementary materials, extracted the relevant information from the included trials, and assessed the risk of bias; a second author (N.E.) reviewed excluded studies for erroneous selection. Any discrepancies were resolved by consensus.

Data collection process and data items

One reviewer (A.B.) extracted the following data from included studies, while another (D.C.) confirmed the extracted data for accuracy. Where necessary, we contacted corresponding authors to secure data. We used a standardized tool to extract information about authors, study objectives, sample characteristics, inclusion/exclusion criteria, study design, experimental processes, treatment protocols, outcome variables, and analytic strategy in Covidence, which we transferred to a Microsoft Excel spreadsheet (Veritas Health Innovation, 2019).

Study risk of bias assessment

We applied the Cochrane Risk of Bias Tool for randomized controlled trials (Higgins et al., 2011). In brief, this tool appraises the risk of bias in trials attributable to randomization, allocation concealment, blinding, participant attrition, selective reporting, and other sources of bias (e.g., unclear adherence to treatment, allegiance bias). One reviewer (A.B.) appraised the study's risk of bias, which was confirmed by the remaining reviewers (D.C. and N.E.). For coding purposes, studies receiving one high risk of bias rating in any individual domain or two unclear risks of bias ratings had a high overall risk of bias.

Summary measures

Although there was insufficient homogeneity to enable meta-analysis, we summarized findings across studies by describing their population, intervention, comparison, outcome, and design features as per previous descriptive reviews in addiction medicine (Bahji, 2019; Bahji & Bajaj, 2018, 2019; Bahji et al., 2021).

Results

Study selection

We screened 3,024 studies, from which 2,008 were unique citations and 1,016 were duplicate citations. From these, we excluded 1,416 records during the title and abstract screening phase, leaving 592 full-text articles for review. Subsequently, 16 treatment studies met the inclusion criteria (Figure 1). Fourteen were pharmacological trials, whereas two were nonpharmacological intervention studies. We did not find any additional articles through reviewing reference lists of identified articles.

Figure 1.

Figure 1

PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses) flow diagram

Pharmacological treatments

Pharmacological treatments involving antidepressants, sleep-promoting agents, anticonvulsants, gabapentinoids, and two novel therapies have been explored for therapeutic efficacy in PAWS management (Table 1), which we summarize here.

Table 1.

Characteristics of studies of pharmacologic treatments for post-acute alcohol withdrawal syndrome (n = 14)

graphic file with name jsad.2022.83.470tbl1.jpg

Study Population Interventions Outcomes Findings
Bergdahl et al., 2014 17 outpatients with PAWS and concomitant withdrawal from other substances (13 women, 28-63 years) Auricular acupuncture twice a week for 5 weeks Subjective rating, adverse events Participants generally reported a positive experience, including peacefulness, harmony, and anxiety reduction, without any adverse effects
Bokhan et al., 2003 115 outpatients (110 men, average age 40.2 ± 8.43 years) Proproten-100 (n = 70) vs. standard therapy (n = 45) for 2 weeks Symptom rating on multiple instruments The Proproten-100 group appeared to be an effective treatment for PAWS-related anxiety and depression symptoms
Bondi et al., 2018 70 outpatients (all-male, average age 40.4 ± 11.0 years) Melatonin 5 mg (n = 35) vs. placebo (n = 35) for 4 weeks GAD-7, PHQ-8, PSS-14, PSSQ-1, adverse events No between-group differences were observed for any outcome
Bonnet et al., 2009 Five inpatients (3 men, ages 39-66 years) Gabapentin 1800 mg (n = 5), no control group, for 2 weeks CIWA-Ar, time to withdrawal suppression, cravings A significant decrease of CIWA-Ar scores (from 18.2 ± 3.8 to 9.2 ± 3; p = .009) was observed 2 hours after the first gabapentin administration, with suppression by 14 days
Di Nicola et al., 2010 40 outpatients (24 men, average age 43.0 ± 9.8 years) Pregabalin 200-450 mg (n = 40), no control group, for 2 weeks SCL-90-R, CIWA-Ar, VASc, OCDS Alcohol withdrawal symptoms, cravings for alcohol, and improvements in psychiatric symptoms and quality of life were significant over time (p < .001)
Gualtieri et al., 2011 18 outpatients (13 men, average age 54.3 ± 10.7 years) Acamprosate 1,3331,998 mg/day (n = 18) for 2 weeks CIWA-Ar, VASc, OCDS, CGI, abstinence Abstinence was achieved by 13 participants (77%) while cravings improved (p < .05)
Le Bon et al., 2003 18 outpatients (1 woman, average age 43.8 ± SD 8.3 years) Trazodone 50-200 mg (n = 8) vs. placebo (n = 8) for 4 weeks Polysomnography, HDRS, CGI Sleep efficiency, HDRS, and CGI scores were better in the trazodone group
Lennox and Cecchini-Sternquist et al., 2018 109 prospectively enrolled participants in a residential substance abuse treatment center (33 women, average age 28.4 ± 15.6 years) 7-day intensive sauna detoxification component of a multi-modal, longterm residential substance abuse treatment center Subjective ratings, adverse events, SFHS, completion rate Sauna treatment appeared to be well-tolerated (99% completion), with high client-reported satisfaction and improvements on ratings of PAWS symptoms on the SFHS
Liappas et al., 2004 68 outpatients (15 women, average age 44.5 ± 9.5 years) Mirtazapine 30-60 mg with standard therapy (n = 35) vs. standard therapy alone (n = 33) for 4 weeks HDRS, HARS, GAS, VASc Patients in the mirtazapine group had greater and more rapid improvement in symptoms
Martinotti et al., 2007 84 patients (68 men, average age 46.3 ± 11.9 years) Oxcarbazepine 600-900 mg (n = 28) vs. 1,500-1,800 mg (n = 29) vs. naltrexone 50 mg (n = 27) for 90 days VASc, OCDS, AWRS, SCL-90-R, alcohol abstinence Abstinence and improved hostility/aggression scores were greater in the high oxazepane group, whereas cravings were lowest in the naltrexone group
Martinotti et al., 2010a 111 outpatients (69 men, ages 18-75 years) Pregabalin up to 450 mg (n = 37) vs. tiapride up to 800 mg (n = 37) vs. lorazepam up to 10 mg (n = 37) for 2 weeks SCL-90-R, VASc, CIWA-Ar, OCDS, abstinence Pregabalin outperformed tiapride and lorazepam for CIWA-Ar, but not other outcomes
Mueller et al., 1997 29 outpatients (18 men, average age 38.8 ± 8.6 years) Carbamazepine 600 mg (n = 13) vs. placebo (n = 16) with 12 month follow-up Adherence, carbamazepine levels, alcohol intake, BDI, SSTAI, GAF, POMS Carbamazepine reduced alcohol intake, but there were no differences in other outcomes
Myrick et al., 2009 84 outpatients (65 men, average age 39.1 ± 2.1 years) Gabapentin 900 mg (n = 28) vs. 1,200 mg (n = 28) vs. lorazepam 6 mg (n = 28) for 4 days CIWA-Ar, abstinence, BDI, ZAS, EPS, VASc High-dose gabapentin was superior to lorazepam and lower odds of drinking, craving, anxiety, and sedation
Overall et al., 1973 147 inpatients (age and sex not described) Amitriptyline 75 mg vs. chlordiazepoxide 30 mg vs. mesoridazine 75 mg for 5 weeks MMPI depression and anxiety subscales Amitriptyline outperformed chlordiazepoxide and mesoridazine at low doses
Stojek et al., 1990 28 inpatients (age and sex not described) Homatropine hydrobromide 0.5% drops (twice) vs. placebo eyedrops over 60 minutes Subjective changes in symptoms, vital signs Homatropine improved irritability, depressed mood, anxiety, somatic and vegetative symptoms (p < .01), cravings (p < .01), and prolactin levels
Trevisan et al., 2008 57 outpatients (all men, average age 47.7 ± 8.4 years) Gabapentin 1,200 mg (n = 19) vs. valproic acid 1,500 mg (n = 19) vs. placebo (n = 19) over 4 weeks, allowed lorazepam 1 mg PRN q4h CIWA-Ar, alcohol use, OCDS, POMS, PSQI Neither gabapentin nor valproic acid was superior for any of the outcomes

Notes: AWRS = Alcohol Withdrawal Rating Scale; BDI = Beck Depression Inventory; CGI = Clinical Global Impression; CIWA-Ar = Clinical Institute Withdrawal Assessment, Alcohol, revised; EPS = Extrapyramidal Symptom Scale; GAD-7 = General Anxiety Disorder-7; GAF = Global Assessment of Function; GAS = Global Assessment Scale; HARS = Hamilton Anxiety Rating Scale; HDRS = Hamilton Depression Rating Scale; MMPI = Minnesota Multiphasic Personality Inventory; OCDS = Obsessive Compulsive Drinking Scale; PAWS = post-acute alcohol withdrawal syndrome; PHQ-8 = Patient Health Questionnaire; POMS = Profile of Mood States; PRN = pro re nata (taken as needed); PSQI = Pittsburgh Sleep Quality Index; PSS-14 = Perceived Stress Scale-14; PSSQ-1 = Personal Suicide Stigma Questionnaire; SCL-90-R = Symptom Checklist-90-Revised; SFHS = Short-Form Health Survey; SSTAI = Spielberger State-Trait Anxiety Inventory; VASc = Visual Analog Scale for alcohol cravings; ZAS = Zung Anxiety Scale.

Antidepressants. Given the significant affective disturbance seen in protracted withdrawal, three trials have explored antidepressants as PAWS treatments. In a 28-day trial of eight patients treated with trazodone 50 mg by Day 3 titrated to 150–200 mg by Day 28 compared with eight given placebo, the trazodone group had fewer depressive symptoms and enhanced sleep efficiency, the latter supported by polysomnographic findings (p = .041); however, the major limitation was the trial's small sample size (n = 16) (Le Bon et al., 2003). In a study of 68 outpatients, the addition of mirtazapine 30–60 mg (n = 35, M = 28.86, SD = 10.78 mg) for 4 weeks after the first week of standard detoxification led to more significant improvements in PAWS-related anxiety and depressive symptomatology compared with traditional detoxification alone (n = 33, p < .01; Liappas et al., 2004).

Although the two groups had similar baseline symptoms, the mirtazapine group consumed more alcohol per day, suggesting greater AUD severity (Liappas et al., 2004). Finally, an older study (Overall et al., 1973) of 146 inpatients compared amitriptyline 75 mg daily to chlordiazepoxide 30 mg daily or mesoridazine 75 mg daily over 5 weeks to treat depression and anxiety symptoms in recently detoxified individuals with AUD with decreased self-reported scores on subscales of the Minnesota Multiphasic Personality Inventory; chlordiazepoxide was significantly less effective than mesoridazine or amitriptyline.

Sleep-promoting agents. Although sleep disturbance is notable in PAWS, there is no evidence for using sleep-promoting agents other than the antidepressant trazodone. A trial of 70 persons in sober living examined the effect of adding 5 mg of melatonin (n = 35) versus placebo (n = 35). Still, there was no evidence that melatonin improved any measured outcomes (Bondi et al., 2018).

Anticonvulsants. Elevated glutamatergic neurotransmission through NMDA signaling appears to mediate PAWS and acute withdrawal, pointing to anticonvulsants’ role in restabilizing brain neurochemistry during protracted withdrawal. In a 12-month double-blind, placebo-controlled pilot study following acute detoxification from alcohol, carbamazepine demonstrated efficacy for decreased alcohol intake and improved mood; however, the trial was plagued by compliance difficulties and a sizable dropout rate (Mueller et al., 1997). Another trial compared naltrexone (50 mg, n = 27) to two doses of oxcarbazepine (1,500–1,800 mg, n = 27; 600–900 mg, n = 28) over 90 days (Martinotti et al., 2007). Abstinence was higher with high-dose oxcarbazepine (58.6%) than in the low-dose (42.8%) or naltrexone (40.7%) groups; cravings were lowest with naltrexone (p < .05).

Acamprosate. A small pilot open study confirmed the efficacy of acamprosate in maintaining abstinence and reducing PAWS in 18 recently detoxified alcohol-dependent outpatients (Gualtieri et al., 2011). Participants received either 1,332 mg/day or 1,998 mg/day, depending on their weight, for 30 days; however, there was no placebo control group (Gualtieri et al., 2011). Acamprosate was well tolerated, improving alcohol craving and relapses while reducing protracted withdrawal symptom severity measured using the Clinical Institute Withdrawal Assessment for Alcohol (Gualtieri et al., 2011).

Gabapentinoids. Gabapentinoids, like gabapentin and pregabalin, may target anxiety and sleep symptoms within PAWS. Gabapentin also improves negative affect and sleep symptoms of PAWS (Mason et al., 2018). However, as gabapentin does not suppress or prevent alcohol withdrawal seizures, it is not recommended as a stand-alone therapy for acute or protracted alcohol withdrawal (Hammond et al., 2015; Leung et al., 2015). In one trial, gabapentin appeared to outperform lorazepam during PAWS for abstinence, cravings, and tolerability (Myrick et al., 2009). However, Trevisan and colleagues (2008) did not replicate these findings when they compared 1,200 mg/day of gabapentin to valproic acid (1,500 mg/day or less) and placebo for PAWS. Pregabalin is a newer gabapentinoid with more rapid absorption and time to peak serum concentration (1 vs. 3 hours to reach peak levels) and a longer half-life elimination time, allowing twice-daily rather than thrice-daily dosing (Mason et al., 2018).

Pregabalin has shown efficacy for treating uncomplicated AWS and related negative affective symptoms in a 2-week open-label study (Di Nicola et al., 2010) and a 2-week multicenter trial versus tiapride and lorazepam (Martinotti et al., 2010b). These findings were replicated in a 16-week multicenter trial against naltrexone, which found that pregabalin was well tolerated, improving withdrawal symptoms as well as naltrexone (Martinotti et al., 2010a). However, some of pregabalin's pharmacokinetic improvements—such as quicker absorption and higher potency—have led to a concomitant increase in its abuse potential (Häkkinen et al., 2014; Schjerning et al., 2016).

Novel agents. In 2003, an open trial of 115 AUD outpatients investigated Proproten-100—an antibody preparation targeting S100 proteins in the hippocampus and hypothalamus—for PAWS (Bokhan et al., 2003). The experimental group (n = 70) received 5–8 tablets of Proproten-100 sublingually per day. The control group (n = 45) received a cocktail involving amitriptyline, piracetam, and three anxiolytics. Although 47% of the experimental group and 28% of the control group showed improved neurovegetative symptoms by Day 5, the differences were no longer significant by Day 10, suggesting that the agent was not effective for protracted withdrawal (Bokhan et al., 2003). In another trial (Stojek et al., 1990), Stojek and colleagues tested homatropine eye drops compared with placebo for treating PAWS symptoms among 28 AUD inpatients, reporting decreased irritability, depression, anxiety, somatic, and vegetative symptoms, and lower cravings for alcohol in the homatropine-treated group. However, because the therapeutic duration of homatropine is approximately 24 hours, the longer term efficacy is unknown (Stojek et al., 1990).

Pharmacotherapy summary. Although many agents have been investigated in PAWS treatment, anticonvulsants and gabapentinoids appear to have more evidence than the other categories of pharmacotherapies. However, the strength of evidence is relatively low for all medications, given the limited quality of the included studies and small sample sizes. Nonpharmacological treatments

We did not identify any psychotherapy studies for the treatment of PAWS. However, there were two nonpharmacological treatments of PAWS from two noncontrolled studies showing short-term subjective benefits. Participants generally reported a positive experience in one study of auricular acupuncture twice a week for 5 weeks for 17 outpatients with PAWS (and concomitant withdrawal from other substances), including peacefulness, harmony, and anxiety reduction, without any adverse effects (Bergdahl et al., 2014). Similarly, sauna detoxification appeared to be a well-tolerated regimen in another study, with high client-reported satisfaction and improvements in ratings of PAWS symptoms on the Short-Form Health Survey after 2 to 4 weeks following a 7-day intensive treatment phase (Lennox & Cecchini-Sternquist, 2018). However, the preliminary findings suggest that some methodological issues, such as a lack of control groups, objective measures, and longer term follow-up measures, limit the quality of the available evidence.

Risk of bias in individual studies

Using the Cochrane Risk of Bias tool ratings (Table 2), only 6 of the 16 studies received a low overall risk of bias rating. The most common reasons for the higher risk of bias ratings in the component studies were unclear randomization and blinding methods. On the whole, attrition across studies was low. Because most studies were at high risk of bias, we downgraded the overall strength of evidence.

Table 2.

Cochrane Risk of Bias Tool ratings

graphic file with name jsad.2022.83.470tbl2.jpg

Study Randomization Allocation Blinding Attrition Selective reporting Other Total
Bergdahl et al., 2014 High risk High risk High risk Low risk Low risk Low risk High risk
Bokhan et al., 2003 High risk High risk High risk Low risk Low risk Low risk High risk
Bondi et al., 2018 Low risk Low risk Low risk Low risk Low risk Low risk Low risk
Bonnet et al., 2009 High risk High risk High risk Low risk Low risk Low risk High risk
Di Nicola et al., 2010 High risk High risk High risk Low risk Low risk Low risk High risk
Gualtieri et al., 2011 High risk High risk High risk Low risk Low risk Low risk High risk
Le Bon et al., 2003 Low risk Low risk Low risk Low risk Low risk Low risk Low risk
Lennox and Cecchini-Sternquist et al., 2018 High risk High risk High risk Low risk Low risk Low risk High risk
Liappas et al., 2004 Low risk Low risk High risk Low risk Low risk Low risk High risk
Martinotti et al., 2007 Low risk Low risk High risk Low risk Low risk Low risk High risk
Martinotti et al., 2010a Low risk Low risk Low risk Low risk Low risk Low risk Low risk
Mueller et al., 1997 Low risk Low risk Low risk Low risk Low risk Low risk Low risk
Myrick et al., 2009 Low risk Low risk Low risk Low risk Low risk Low risk Low risk
Overall et al., 1973 High risk High risk High risk Low risk Low risk Low risk High risk
Stojek et al., 1990 High risk High risk High risk Low risk Low risk Low risk High risk
Trevisan et al., 2008 Low risk Low risk Low risk Low riks Low risk Low risk Low risk

Discussion

Summary of evidence

To our knowledge, this is the first scoping review to explore the treatment of PAWS, which ASAM defines as a syndrome with persistent, subacute symptoms of irritability, anxiety, and sleep disturbance (ASAM, 2020). There currently is a lack of controlled trials for nonpharmacological therapies for PAWS, so these cannot be recommended. The strength of evidence overall for pharmacologic treatments is low, with often only short-term results being reported, small treatment samples used, or inconsistent results found. However, for PAWS negative affect and sleep symptoms, more evidence supports using the gabapentinoids (gabapentin and pregabalin) and the anticonvulsants (carbamazepine and oxcarbazepine). Although acamprosate has some preliminary data, there were no controlled trials. Despite an older treatment trial showing some positive data for amitriptyline for mood, clinical measures used were problematic, and its side effects and safety profile limit its utility. Finally, there is a lack of evidence to support the efficacy of melatonin and other agents (homatropine, Proproten-100) for PAWS symptoms.

Implications of findings

In a review of protracted withdrawal by Satel and colleagues (1993), the authors concluded that symptoms extending beyond the period of acute withdrawal from alcohol—as well as opioids, for that matter—have been relatively consistently described but not conclusively demonstrated. Although it has been nearly 30 years since the publication of the Satel et al. review of protracted withdrawal syndromes, the PAWS field has not advanced remarkably apart from animal studies, which was not the present review's focus. Regrettably, PAWS has not received formal recognition as a disorder in any edition of the DSM or the ICD. It remains a relatively underestimated and ambiguously defined clinical condition that follows the acute stage of AWS (Caputo et al., 2020). Protracted withdrawal syndromes, in general, have not received prominent discussion, although they are clinically relevant. Likewise, whereas several trials have explored different PAWS treatments—as evidenced by those uncovered by the present review—few have been extensively studied since the 1990s, even though several of these agents showed promise in small pilot studies.

The lack of a shared, precise definition may partially explain why PAWS has not been widely adopted. The ASAM guidelines support the existence of PAWS, which they define as a syndrome with persistent, subacute symptoms of irritability, anxiety, and sleep disturbances (ASAM, 2020). Likely what is needed to define PAWS further is a specific timeline for symptom onset and persistence (i.e., the onset of symptoms within the first month after acute withdrawal that persists for greater than 1 month), specific symptoms that define PAWS (i.e., three or more of the following: irritability, depressed mood/anhedonia, anxiety, cravings, cognitive impairment, and sleep impairment), and its presence associated with functional impairment or predisposing to substance relapse. However, the larger topics of acute withdrawal and AUD maintenance may have absorbed PAWS where proposed PAWS treatments could have been lost amid the wave of naltrexone, acamprosate, and disulfiram. One of the other consequences of the relative lack of understanding of PAWS is the scarcity of published guidance on its management. For example, the ASAM 2020 Clinical Practice Guidelines on Alcohol Withdrawal Management identified protracted withdrawal as an area for future consideration (ASAM, 2020). Because there appears to be plausible neurobiological support for the basis of PAWS, impairment from its presence, and treatment consequences for identifying PAWS, PAWS must be more formally defined.

Although our review found limited, mixed-quality evidence for different pharmacotherapeutic classes in managing specific PAWS symptoms (such as sleep disruption, mood, or anxiety symptoms), there remains a need to enhance the evidence base for PAWS and its treatment. Consequently, one strategy for improving PAWS research is to recognize it formally. We hope that the present review's findings—by synthesizing literature across approximately four decades of research—may create a stronger argument for formalizing PAWS as a diagnostic entity. Furthermore, considering that PAWS symptoms are mainly related to the neuro-adaptive changes of GABA and NMDA systems, traditional treatments for AUD—such as naltrexone, nalmefene, and disulfiram—may not be able to suppress PAWS symptoms (Caputo et al., 2020).

Caputo and colleagues suggested that following the management of AWS, a more specifically designed pharmacological therapy able to suppress PAWS symptoms could perhaps be used earlier and help prevent the risk of alcohol relapse, which remains higher during the first months of abstinence (Caputo et al., 2020). Conversely, medications acting on GABA and NMDA neurotransmitter systems to counterbalance the up-regulation of NMDA and the down-regulation of GABA could be used in combination and started as soon as possible (Caputo et al., 2020). In addition, there is some evidence that acamprosate initiation following alcohol detoxification can mitigate relapse and PAWS (Gual & Lehert, 2001).

Limitations

There are a few limitations to discuss at the study and outcome level. The primary limitation is the high heterogeneity between studies owing to the nebulous nature of PAWS, the lack of a shared consensus definition, the variable durations of symptoms presented as components of PAWS, and the small sample sizes of the component studies. In addition, much of the literature on PAWS is dated, and there is a shortage of robust, randomized, controlled trials. Furthermore, there is a lack of standardization of PAWS across studies, and the extent of post-acute withdrawal abstinence was highly variable. Finally, as a scoping review, the search was limited to only a few databases and published literature. As a result, the review may have been vulnerable to publication bias. However, it is unclear if this significantly affected the overall conclusions. Unlike a traditional systematic review, only one author (A.B.) reviewed and identified the articles for inclusion, and the second reviewer only reviewed the excluded articles. With future studies, a more extensive systematic review or meta-analysis could be conducted.

Conclusion

Although there is some evidence for targeted pharmaco-therapy for treating specific PAWS symptoms, there are few recent, robust, placebo-controlled trials, and the level of evidence is low. In addition, as the presence of PAWS appears to contribute to relapse, there is a need for specific criteria for PAWS to be developed and tested and high-quality treatment studies done involving agents addressing the neurobiological underpinnings of symptoms.

Conflict-of-Interest Statement

Anees Bahji receives a small honorarium for teaching undergraduate and postgraduate medical trainees in the Cumming School of Medicine at the University of Calgary. In addition, Dr. Bahji is an unpaid member of the Canadian Network for Mood and Anxiety Treatments editorial committee, the International Society of Addiction Journal Editors, the Canadian Society of Addiction Medicine policy committee, and the Addiction Psychiatry section of the Canadian Psychiatric Association. Dr. Bahji is also an unpaid associate editor of the Canadian Journal of Addiction and a mental health educator for TED-Ed, where he receives a small honorarium for supporting online educational content. Finally, Dr. Bahji does not report any royalties, licenses, consulting fees, payment or honoraria for lectures or presentations, speaker's bureaus, manuscript writing, expert testimony, patents, or participation on other boards.

Acknowledgments

The authors acknowledge the University of Calgary Health Sciences Librarians for their support in developing our search strategy. We also recognize that our work takes place on historical and contemporary Indigenous lands, including the territories of Treaties 6, 7 & 8 and the homeland of the Métis. We also acknowledge the many Indigenous communities that have been forged in urban centers across Alberta.

Footnotes

All authors contributed to this study's design, the interpretation of the data, subsequent manuscript drafts (and revisions), and final approval for submission. Dr. Bahji wrote the initial draft of the work and managed revision feedback from the other authors.

Dr. Bahji has received grants to support addiction research training from the National Institutes of Health and the National Institute on Drug Abuse (NIDA) through the International Collaborative Addiction Medicine Research Fellowship (R25-DA037756) and the Research in Addiction Medicine Scholars Program (R25-DA033211), respectively. In addition, Dr. Bahji is a recipient of the 2020 Friends of Matt Newell Endowment from the University of Calgary Cumming School of Medicine. Dr. Bahji also received financial support from a 2020 Research Grant on the Impact of COVID-19 on Psychiatry by the American Psychiatric Association and the American Psychiatric Association Foundation. Currently, Dr. Bahji has been awarded doctoral studies research funding from the Canadian Institutes of Health Research (CIHR) Fellowship and the Harley N. Hotchkiss Graduate Scholarship in Neuroscience from the University of Calgary. Furthermore, Dr. Bahji has received research funding through the Calgary Health Trust. However, the content is solely the authors’ responsibility and does not represent the official views of NIDA, the University of Calgary, the CIHR, or the Calgary Health Trust.

Registration number: PROSPERO CRD42020208946.

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