Rolul scalelor clinice în managementul terapeutic al sevrajului alcoolic
The role of clinical scales in the predictive and therapeutic management of alcohol withdrawal
Data primire articol: 04 Mai 2026
Data acceptare articol: 07 Iunie 2026
Editorial Group: MEDICHUB MEDIA
10.26416/Psih.85.2.2026
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Abstract
Introduction. The management of alcohol withdrawal syndrome (AWS) requires a transition from fixed-dose protocols to symptom-triggered therapy, while simultaneously integrating modern risk-prediction tools.
Objective. This paper synthesizes current diagnostic criteria according to DSM-5-TR and ICD-11, providing a neurobiological framework and a hierarchical algorithm for clinical scale utilization.
Methodology. Essential clinical instruments are comparatively analyzed across the stages of care: PAWSS (Prediction of Alcohol Withdrawal Severity Scale) for identifying patients at high risk for complicated withdrawal, BAWS (Brief Alcohol Withdrawal Scale) for rapid triage, CIWA-Ar/Sellers Inventory and the Cushman Scale for fine symptom monitoring, and the RASS scale for sedation safety.
Results and discussion. The use of PAWSS allows for early prophylactic intervention, reducing the incidence of delirium tremens. Correlating this tool with severity scales (CIWA-Ar, Cushman) ensures precision pharmacological titration tailored to individual risk, while RASS provides the safety framework against iatrogenic oversedation.
Conclusions. Integrating scales – from predictive (PAWSS) to triage (BAWS), monitoring (CIWA-Ar/Cushman) and safety (RASS) – represents the gold standard, providing the clinician with a proactive and safe approach to AWS management.
Keywords
alcohol withdrawalPAWSSCIWA-ArCushman ScaleRASSDSM-5-TRbenzodiazepine titrationneurobiologyRezumat
Introducere. Managementul sindromului de sevraj alcoolic (SSA) necesită o tranziție de la protocoalele cu doze fixe la terapia ghidată de simptome (symptom-triggered therapy), integrând totodată instrumente moderne de predicție a riscului.
Obiectiv. Lucrarea sintetizează criteriile actuale de diagnostic conform DSM-5-TR și ICD-11, oferind o fundamentare neurobiologică a sevrajului și un algoritm ierarhic de utilizare a scalelor clinice.
Metodologie. Sunt analizate comparativ instrumentele clinice pe etapele îngrijirii: PAWSS (Prediction of Alcohol Withdrawal Severity Scale) pentru identificarea pacienților cu risc înalt de sevraj complicat, BAWS (Brief Alcohol Withdrawal Scale) pentru triajul rapid, CIWA-Ar/ Sellers Inventory și scala Cushman pentru monitorizarea fină a simptomatologiei, respectiv scala RASS pentru siguranța sedării.
Rezultate și discuție. Utilizarea PAWSS permite o intervenție profilactică precoce, reducând incidența delirium tremens. Corelarea acestui instrument cu scalele de severitate (CIWA-Ar, Cushman) asigură o titrare farmacologică de precizie, adaptată riscului individual, iar RASS oferă cadrul de siguranță împotriva suprasedării iatrogene.
Concluzii. Integrarea scalelor – de la predictiv (PAWSS) la triaj (BAWS), monitorizare (CIWA-Ar/Cushman) și siguranță (RASS) – reprezintă standardul de aur, oferindu-i clinicianului o abordare proactivă și sigură în managementul SSA.
Cuvinte Cheie
sevraj alcoolicPAWSSCIWA-Arscala CushmanRASSDSM-5-TRtitrare benzodiazepineneurobiologie1. Introduction
Alcohol withdrawal syndrome (AWS) represents one of the most frequent and potentially fatal challenges in consultation-liaison and emergency psychiatric practice. It is estimated that approximately 8% of hospitalized patients present manifestations of AWS, while complicated forms – withdrawal seizures and delirium tremens (DT) – occur in up to 20% of patients with alcohol use disorder (AUD)(1,2).
The onset of AWS typically occurs within 6 to 24 hours of the last alcohol intake, but may also appear several days after a significant reduction in habitual consumption. The clinical picture includes tremor, psychomotor agitation, insomnia, paroxysmal diaphoresis, tachycardia, nausea, vomiting, anxiety, hallucinations, and in severe forms – generalized tonic-clonic seizures or delirium(1,2). Mortality in untreated DT can reach 35-37%, but decreases to 1-5% under correct and early management(3). Furthermore, a prospective Norwegian study of 36,287 patients demonstrated that survivors of a DT episode present a 56% higher all-cause mortality risk compared with alcohol-dependent patients without DT, with deaths attributable predominantly to cardiovascular and hepatic disease(4).
In this context, the shift from fixed-dose regimens to symptom-triggered therapy has revolutionized patient safety, reducing the length of hospitalization and the incidence of iatrogenic complications(5,6). This article explores modern instruments for quantifying withdrawal severity and risk as a foundation for precision therapeutic titration.
2. Current diagnostic criteria: DSM-5-TR and ICD-11
2.1. DSM-5-TR
DSM-5-TR (2022) classifies withdrawal within the category of substance-induced disorders, requiring three diagnostic criteria(7):
- A) Cessation (or reduction) of alcohol use that has been previously heavy and prolonged.
- B) The onset of at least two of the following symptoms, occurring within hours to days: autonomic hyperactivity (sweating, HR > 100 bpm); marked hand tremor; insomnia; nausea or vomiting; transient hallucinations or illusions (visual, tactile, auditory); psychomotor agitation; anxiety; generalized tonic-clonic seizures.
- C) Symptoms cause clinically significant distress or impairment in social/occupational functioning and cannot be attributed to another medical or psychiatric condition.
Limb tremor is the pathognomonic sign, typically appearing 6-8 hours after the last intake. Perceptual disturbances manifest at 8-12 hours, while tonic-clonic seizures manifest at 12-24 hours (in fewer than 3% of patients). Residual anxious symptomatology, insomnia and autonomic dysfunction may persist for 3-6 months at a reduced intensity(1,7).
2.2. ICD-11
ICD-11, in force in signatory states since 2022, restructures the classification, placing alcohol use under code 6C40 (Disorders due to use of alcohol)(8). Unlike DSM-5-TR, ICD-11 emphasizes the physiological aspect of dependence and introduces fine clinical specifiers:
- 6C40.40 – Uncomplicated alcohol withdrawal syndrome
- 6C40.41 – Alcohol withdrawal with perceptual disturbances
- 6C40.42 – Alcohol withdrawal with seizures
- 6C40.43 – Alcohol withdrawal with perceptual disturbances and seizures
- 6C40.5 – Alcohol-induced delirium (delirium tremens).
This stratification offers superior clarity compared to ICD-10 and encourages approaching withdrawal as a continuum – from mild forms to genuine medical emergencies(8).
2.3. Clinical subsyndromes
In practice, AWS comprises three subsyndromes, not necessarily simultaneously present in the same patient(1):
- Autonomic hyperactivity – restlessness, diaphoresis, tachycardia, hypertension, tremor.
- Neuronal excitation – the kindling mechanism, responsible for seizure generatin.n
- Perceptual and arousal distortions – transient hallucinations, hypervigilance.
3. Neurobiological foundations: the “glutamatergic storm”
Understanding the pathophysiology of withdrawal transforms the use of scales from an administrative task into a therapeutic necessity. Ethanol exerts a dual modulatory effect on the central nervous system(9,10):
- It potentiates inhibition through facilitation of GABA-A receptors.
- It inhibits excitation through antagonism of glutamatergic NMDA, AMPA and kainate receptors.
Chronic exposure triggers bidirectional neuroplastic adaptation(9,10).
- GABAergic system – down-regulation: the density and sensitivity of GABA-A receptors decrease. The “brake” becomes defective.
- Glutamatergic system – up-regulation: NR1, NR2A and NR2B subunits of NMDA receptors increase in the hippocampus, cortex and cerebellum. The “accelerator” remains pressed to the floor.
Upon abrupt cessation of consumption, the imbalance collapses brutally: hypoactive GABA receptors can no longer inhibit a hyper-expressed glutamatergic system, generating a state of neuronal hyperexcitability – the glutamatergic storm(9,11). Massive calcium influx through hyperactive NMDA receptors leads to excitotoxicity, oxidative stress and – in the absence of treatment – neuronal death, particularly in limbic structures and the frontotemporal cortex(11). This excitotoxicity underlies the cerebral atrophy documented in patients with repeated untreated withdrawal episodes and grounds the preventive role of benzodiazepines (BZD).
The kindling phenomenon
Each insufficiently treated withdrawal episode sensitizes NMDA receptors, lowering the seizure threshold and worsening subsequent episodes(12,13). Recent data from the validation of PAWSS in the Hungarian population confirm that a history of withdrawal seizures or DT (kindling-related predictors) represents the strongest risk factor for complicated withdrawal(12). The clinical message is unequivocal: prevention through predictive scales is no longer optional.
4. Treatment of alcohol withdrawal syndrome: certainties and uncertainties
4.1. Scientifically grounded certainties
Three therapeutic pillars are universally accepted(5,6,14):
- Tranquilizing substitutive treatment (BZD as first line).
- Mandatory parenteral thiamine therapy – 300-500 mg/day i.v./i.m. for a minimum of three days, with oral continuation(14,15).
- Hydroelectrolytic rebalancing guided by serum sodium and magnesium levels.
4.2. Practical uncertainties
Choice of benzodiazepine
In patients with preserved hepatic function, long half-life BZDs (diazepam, chlordiazepoxide) – metabolized by microsomal oxidation – offer “smooth” withdrawal through metabolic auto-tapering. In cirrhotic, elderly or hepatic encephalopathy patients, lorazepam and oxazepam are preferred, because they undergo direct hepatic conjugation, without active metabolites(5,16).
Non-benzodiazepine alternatives
Carbamazepine (800-1200 mg/day) remains a valid option in mild-moderate withdrawal, especially in patients with a history of seizures or EEG changes(17). A recent meta-analysis confirmed the efficacy of anticonvulsants (carbamazepine, gabapentin, valproate) in moderate withdrawal, although BZDs remain the standard in severe forms(17,18).
Phenobarbital is gaining ground as a rescue therapy in BZD-refractory withdrawal or in cases of pharmacological resistance(19,20). Its use in ICU/ED settings increased by over 200% between 2016 and 2020 in the United States of America, with weight-based loading doses (5-10 mg/kg i.v. over 30 minutes)(19,21). However, a 2024 meta-analysis did not reveal a significant reduction in intensive-care admissions or adverse events compared to BZD monotherapy in the emergency setting(22).
Gabapentin (300-900 mg three times daily) represents a promising adjunctive option in mild-moderate withdrawal(5,18).
The glucose issue
Glucose infusions must be mandatorily preceded by parenteral thiamine – isolated glucose administration in a deficient patient depletes the last reserves of B1 and can precipitate iatrogenic Wernicke encephalopathy(14,15). Approximately one-third of AWS patients present stress hyperglycemia or pancreatic lesions, which is why glycemia must be checked urgently.
Use of neuroleptics
Neuroleptics have no role in the basic AWS regimen, but may be adjunctive in the presence of severe perceptual productivity. Tiapride and haloperidol (2-5 mg) are the classic options, with avoidance in the presence of seizures (they lower the seizure threshold)(1,5).
5. Clinical scales
If DSM-5-TR and ICD-11 provide us with YES/NO criteria for diagnosis, clinical scales transform these qualitative criteria into quantitative data, enabling the monitoring of clinical evolution.
Recent literature and medical calculation applications (MDCalc, UpToDate) identify an ensemble of five scales which, used hierarchically, cover the entire clinical pathway of the withdrawal patient(5,6,23). The proposed algorithm is as follows:
- PAWSS – at admission (prediction).
- BAWS – in the emergency department (rapid triage).
- CIWA-Ar/Sellers Inventory – on the ward (fine monitoring).
- Cushman – in patients with cardiovascular risk or who are uncooperative.
- RASS – continuously (safety).
5.1. PAWSS – Prediction of Alcohol Withdrawal Severity Scale
PAWSS, developed and prospectively validated by Maldonado et al. (2014, 2015), is the only validated instrument that allows the identification of patients at high risk for complicated withdrawal before the appearance of severe symptoms(24,25). The scale contains 10 binary items (YES/NO), assessing:
- Part I – Threshold criteria: recent alcohol consumption, positive blood alcohol level at admissio.n
- Part II – Biological/clinical data: current signs of withdrawal, acute medical comorbidities.
- Part III – Anamnesis: previous episodes of withdrawal, seizures, DT, rehabilitation attempts, polypharmacy (BZD/sedatives), recent binge drinking.
Interpretation
- Score < 4: low risk – simple monitoring.
- Score ≥ 4: high risk – aggressive prophylaxis recommended.
In the pivotal prospective study of 403 patients, PAWSS demonstrated 93.1% sensitivity, 99.5% specificity and 93.1% positive predictive value at the cutoff of 4 points, with excellent inter-rater reliability (Lin’s coefficient 0.963)(25). Subsequent studies confirmed the utility in the emergency department (reduced LOS, decreased ICU admissions)(26) and in different cultural contexts – the Hungarian validation (2025) proposes a cutoff of 6 for sensitivity/specificity optimization(12), while the French validation is ongoing(27). Application of PAWSS in community triage in Vancouver recommended adjusting the cutoff to 7 for context-specificity(28).
5.2. BAWS – Brief Alcohol Withdrawal Scale
BAWS, developed by Rastegar et al. (Johns Hopkins, 2017), is the pragmatic response to the main criticism of CIWA-Ar: its length and cumbersome nature in the busy emergency setting(29). It contains five items, scored 0-3 (maximum 15 points):
- Tremor (on arm extension).
- Sweating (palms, forehead).
- Anxiety (subjective).
- Psychomotor agitation.
- Hallucinations/orientation.
Therapeutic threshold: a score ≥ 5 indicates the need to initiate BZD treatment(29,30). Advantages include: rapidity (under 1 minute), predominant objectivity of items and superior correlation with CIWA-Ar (over 0.9). Retrospective studies (n = 799) demonstrated that the majority of patients monitored through the BAWS protocol received minimal/zero BZD doses, with low rates of severe withdrawal, agitation or oversedation(30). The main limitation: BAWS may underestimate the severity in patients with predominantly perceptual symptomatology without tremor/diaphoresis.
5.3. CIWA-Ar/Sellers Inventory
CIWA-Ar (Clinical Institute Withdrawal Assessment for Alcohol – Revised), referred to in European literature as the Sellers Inventory, after its main author (Edward M. Sellers, Toronto Addiction Research Foundation), represents the gold standard for the clinical evaluation of AWS(31). The scale assesses 10 items: nausea/vomiting, tremor, paroxysmal sweating, anxiety, agitation, tactile, auditory and visual disturbances, headache, orientation/clouding(32).
Interpretation
- 0-8: mild withdrawal – monitoring, no obligatory pharmacotherapy.
- 9-15: moderate withdrawal – initiate BZD at a score ≥ 10.
- >15: severe withdrawal – increased risk of complications.
The Pribék et al. meta-analysis (2021), on 423 patients, confirmed that cumulative CIWA-Ar scores faithfully track AWS evolution and allow objective comparisons between BZD and non-BZD regimens(33). Major limitation: relying on its subjective component (over 60% of items require patient reporting), CIWA-Ar loses fidelity in confused, aphasic, intubated patients or in those with active psychosis(5).
5.4. The Cushman Scale
Originally developed by Cushman et al. (1985), this 7-item scale concentrates on objective vegetative parameters: heart rate, systolic blood pressure (age-stratified), respiratory rate, tremor, sweating, agitation and sensorium(34). Each parameter is scored 0-3 points.
Interpretation
- < 7: mild withdrawal.
- 7–14: moderate withdrawal – requires treatment.
- > 14: severe withdrawal – major risk of complications.
Cushman is particularly useful in the emergency department, in patients with increased cardiovascular risk, or in francophone settings, where it remains a reference instrument. Unlike CIWA-Ar, it is not dependent on patient cooperation(35).
5.5. RASS – Richmond Agitation-Sedation Scale
RASS, developed by Sessler et al. at Virginia Commonwealth University (2002), is a 10-step scale (+4 to −5), where 0 represents the state of calm alertness(36). Initially designed for the ICU, RASS has become an essential complementary instrument in AWS management, with two key applications:
- Monitoring iatrogenic sedation – target: RASS 0 to −1. Reaching a RASS score ≤ −2 requires stopping/temporizing BZDs, regardless of the CIWA-Ar or Cushman score, to prevent respiratory depression(5,37).
- Evaluating non-communicative patients – a patient with extreme agitation (RASS +3/+4) cannot be subjectively evaluated through CIWA-Ar, but can be safely titrated through RASS.
A Canadian study published in CJEM (2024) retrospectively compared (1073 patients; 21 months) the use of CIWA-Ar versus the modified mRASS-AW version for AWS management outside the ICU. Replacing CIWA-Ar with mRASS-AW did not worsen length of stay or the incidence of DT/ICU admissions; furthermore, post-admission complications were reduced in the mRASS-AW group (3.4% versus 6.6%; p=0.020)(37). This fact suggests that, in the near future, scales based on sedation/agitation could regain ground against complex classical scales.
6. Integrated clinical algorithm for scale utilization

Stage 1: At admission (PAWSS)
- PAWSS < 4 → standard monitoring.
- PAWSS ≥ 4 → aggressive prophylaxis (BZD front-loading, parenteral thiamine, monitoring every 1-2 hours).
Stage 2: In the ED (BAWS)
- BAWS < 5 → reassessment at 2 hours.
- BAWS ≥ 5 → immediate BZD initiation; transfer to a specialized ward.
Stage 3: On the ward (CIWA-Ar and/or Cushman)
- CIWA-Ar in the cooperative patient; Cushman in the noncooperative patient or those with cardiovascular risk.
- Hourly reassessment in the first 24 hours, then every 4-8 hours, depending on evolution.
Stage 4: Continuously (RASS)
- Target: 0 to −1.
- RASS ≤ −2 → STOP BZD, regardless of the severity score.
Autor corespondent: Marinela-Minodora Manea E-mail: mmanea@umfcluj.ro
CONFLICT OF INTEREST: none declared.
FINANCIAL SUPPORT: none declared.
This work is permanently accessible online free of charge and published under the CC-BY.
Bibliografie
- Kaye AD, Staser AN, McCollins TS, et al. Delirium tremens: a review of clinical studies. Cureus. 2024;16(4):e57601.
- Gottlieb M, Chien N, Long B. Managing alcohol withdrawal syndrome. Ann Emerg Med. 2024;84(1):29–39.
- Rahman A, Paul M. Delirium tremens. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2023.
- Bramness JG, Heiberg IH, Høye A, Rossow I. Mortality and alcohol-related morbidity in patients with delirium tremens, alcohol withdrawal state or alcohol dependence in Norway: a register-based prospective cohort study. Addiction. 2023;118(12):2352–9.
- The Permanente Medical Group. Alcohol withdrawal in hospitalized patients: evidence-based guideline. Oakland (CA): The Permanente Medical Group; 2024. Available from: https://www.ncbi.nlm.nih.gov/books/NBK604324/
- Borgundvaag B, Bellolio F, Miles I, et al. Guidelines for Reasonable and Appropriate Care in the Emergency Department (GRACE-4): alcohol use disorder and cannabinoid hyperemesis syndrome management. Acad Emerg Med. 2024;31(5):425–55.
- American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, 5th Edition, Text Revision (DSM-5-TR). Washington (DC): APA Publishing; 2022.
- World Health Organization. International Classification of Diseases for Mortality and Morbidity Statistics (ICD-11). 11th Rev. Geneva: WHO; 2022.
- Hauser SR, Knapp JM, Prevot TD, Bell RL. GABAergic signaling in alcohol use disorder and withdrawal: pathological involvement and therapeutic potential. Front Neural Circuits. 2023;17:1218737.
- Quelch D, Lingford-Hughes A, John B, Nutt D, Bradberry S, Roderique-Davies G. Promising strategies for the prevention of alcohol-related brain damage through optimised management of acute alcohol withdrawal: a focussed literature review. J Psychopharmacol. 2025;39(1):14–32.
- Tsai G, Coyle JT. The role of glutamatergic neurotransmission in the pathophysiology of alcoholism. Annu Rev Med. 1998;49:173–84.
- Bagi O, Kádár BK, Farkas FF, Gajdics J, Pribék IK, Lázár BA. A validation study of the Hungarian version of the Prediction of Alcohol Withdrawal Severity Scale: the role of kindling mechanism. Eur Psychiatry. 2025;68(Suppl 1):S930.
- Becker HC. Kindling in alcohol withdrawal. Alcohol Health Res World. 1998;22(1):25–33.
- Thomson AD, Guerrini I, Marshall EJ. Wernicke’s encephalopathy: role of thiamine. Alcohol Clin Exp Res. 2022;46(7):1133–47.
- Specialist Pharmacy Service (NHS). Using and prescribing thiamine in alcohol dependence [Internet]. London: SPS; 2025. https://www.sps.nhs.uk/articles/using-and-prescribing-thiamine-in-alcohol-dependence/
- Mellinger JL, Winder GS, DeMartini KS, Connor JP. Management of alcohol withdrawal syndrome in patients with alcohol-associated liver disease. Hepatol Commun. 2024;8(2):e0372.
- Lai JY, Kalk N, Roberts E. The effectiveness and tolerability of anti-seizure medication in alcohol withdrawal syndrome: a systematic review, meta-analysis and GRADE of the evidence. Addiction. 2022;117(1):5–18.
- Fluyau D, Kailasam VK, Pierre CG. Beyond benzodiazepines: a meta-analysis and narrative synthesis of the efficacy and safety of alternative options for alcohol withdrawal syndrome management. Eur J Clin Pharmacol. 2023;79(9):1147–57.
- Alwakeel M, Alayan D, Saleem T, et al. Phenobarbital-based protocol for alcohol withdrawal syndrome in a medical ICU: pre-post implementation study. Crit Care Explor. 2023;5(4):e0898.
- Umar Z, Haseeb Ul, Rasool MH, et al. Phenobarbital and alcohol withdrawal syndrome: a systematic review and meta-analysis. Cureus. 2023;15(1):e33695.
- Punia K, Scott W, Manuja K, et al. SAEM GRACE: phenobarbital for alcohol withdrawal management in the emergency department – a systematic review of direct evidence. Acad Emerg Med. 2024;31(5):481–92.
- Lee CM, Dillon DG, Tahir PM, et al. Phenobarbital treatment of alcohol withdrawal in the emergency department: a systematic review and meta-analysis. Acad Emerg Med. 2024;31(5):349–61.
- Steel TL, Afshar M, Edwards S, et al. Research needs for inpatient management of severe alcohol withdrawal syndrome: an Official American Thoracic Society research statement. Am J Respir Crit Care Med. 2021;204(7):e61–e87.
- Maldonado JR, Sher Y, Ashouri JF, et al. The “Prediction of Alcohol Withdrawal Severity Scale” (PAWSS): systematic literature review and pilot study of a new scale for the prediction of complicated alcohol withdrawal syndrome. Alcohol. 2014;48(4):375–90.
- Maldonado JR, Sher Y, Das S, et al. Prospective validation study of the Prediction of Alcohol Withdrawal Severity Scale (PAWSS) in medically ill inpatients: a new scale for the prediction of complicated alcohol withdrawal syndrome. Alcohol Alcohol. 2015;50(5):509–18.
- Ellison J. Prediction of Alcohol Withdrawal Severity Scale in the emergency department: an evidence-based practice change. Sigma Repository, Nebraska Methodist College; 2024. https://www.sigmarepository.org/group_nmc/20
- Etablissement Public de Santé Barthélemy Durand. Validation of the French version of the Prediction of the Alcohol Withdrawal Severity Scale (PAWSS-VF). ClinicalTrials.gov Identifier NCT06675539; 2024. https://clinicaltrials.gov/study/NCT06675539
- Strang J, Sangoram A, Mathew M, et al. Applying a modified version of the Prediction of Alcohol Withdrawal Severity Scale in a Canadian community withdrawal management setting. Drug Alcohol Rev. 2025;44(5):1245–54.
- Rastegar DA, Applewhite D, Alvanzo AAH, Welsh C, Niessen T, Chen ES. Development and implementation of an alcohol withdrawal protocol using a 5-item scale, the Brief Alcohol Withdrawal Scale (BAWS). Subst Abus. 2017;38(4):394–400.
- Holzman SB, Rastegar DA. Evaluation of the Brief Alcohol Withdrawal Scale protocol at an academic medical center. J Addict Med. 2019;13(5):379–84.
- Sullivan JT, Sykora K, Schneiderman J, Naranjo CA, Sellers EM. Assessment of alcohol withdrawal: the revised Clinical Institute Withdrawal Assessment for Alcohol scale (CIWA-Ar). Br J Addict. 1989;84(11):1353–7.
- Sellers EM, Naranjo CA, Harrison M, Devenyi P, Roach C, Sykora K. Diazepam loading: simplified treatment of alcohol withdrawal. Clin Pharmacol Ther. 1981;29(6):820–6.
- Pribék IK, Kovács I, Kádár BK, et al. Evaluation of the course and treatment of alcohol withdrawal syndrome with the Clinical Institute Withdrawal Assessment for Alcohol – Revised: a systematic review-based meta-analysis. Drug Alcohol Depend. 2021;220:108536.
- Cushman P Jr, Forbes R, Lerner W, Stewart M. Alcohol withdrawal syndromes: clinical management with lofexidine. Alcohol Clin Exp Res. 1985;9(2):103–8.
- Wolf C, Curry A, Nacht J, Simpson SA. Management of alcohol withdrawal in the emergency department: current perspectives. Open Access Emerg Med. 2020;12:53–65.
- Sessler CN, Gosnell MS, Grap MJ, et al. The Richmond Agitation-Sedation Scale: validity and reliability in adult intensive care unit patients. Am J Respir Crit Care Med. 2002;166(10):1338–44.
- de Lemos J, Sharaf M, Moadebi S, et al. Replacing the Clinical Institute Withdrawal Assessment-Alcohol revised with the modified Richmond Agitation and Sedation Scale for alcohol withdrawal to support management of alcohol withdrawal symptoms: potential impact on length of stay and complications. CJEM. 2024;26(6):431–5.
- Pribék IK, Andó B, Demeter I, Lázár BA. Iatrogenic delirium on symptom-triggered alcohol withdrawal protocol. Psychiatry Res. 2020;291:113224.
- Mizui R, Takada R, Ikuno K, Araki S, Okada T. A case of prolonged Wernicke’s encephalopathy successfully treated with long-term high-dose thiamine. Cureus. 2025;17(6):e85163.
- Lingford-Hughes AR, Welch S, Peters L, Nutt DJ. BAP updated guidelines: evidence-based guidelines for the pharmacological management of substance abuse, harmful use, addiction and comorbidity. J Psychopharmacol. 2021;35(2):119–62.
