Abstract
Importance:
Alcohol use disorder (AUD) is a highly prevalent and costly psychiatric disorder. Abstinence has been considered the optimal outcome of treatment for AUD. Yet, most individuals with AUD do not seek treatment because they do not have a goal of abstinence. The Food and Drug Administration (FDA) has recently qualified reductions in drinking, defined by at least a two level reduction in the World Health Organization risk drinking levels (WHO RDLs), as another primary endpoint for alcohol pharmacotherapy trials. The approval of drinking reductions as an endpoint for alcohol clinical trials aligns with an accumulating literature on drinking reductions in the alcohol field. The current paper provides a narrative review of 34 papers that have examined WHO RDLs as a “surrogate marker” of how people with AUD feel and function.
Observations:
Results from epidemiological studies, community samples, and clinical trials indicate that drinking reductions are associated with improvements in how patients feel and function, including reduced risk of substance use disorder, medical and psychiatric diseases, and reductions in alcohol-related consequences, craving, and health care costs. Drinking reductions are also associated with improvements in functioning and quality of life. Drinking reductions are also achieved by most clinical trials participants, and effect sizes for the WHO RDL reductions for active medications versus placebo are similar to alternative endpoints.
Conclusions and Relevance:
The FDA acceptance of reduction in WHO RDLs as another primary endpoint for alcohol clinical trials may increase opportunities for AUD medications development, encourage patients to seek treatments that target drinking reductions, and engage providers in prescribing medications shown to be effective in supporting drinking reductions. The WHO RDLs may be particularly useful for targeted drinking reductions in clinical practice. Qualification of the WHO RDL endpoint facilitates a paradigm shift towards a harm reduction approach in AUD treatment.
Alcohol use disorder (AUD) is a prevalent and costly psychiatric disorder, with estimates of lifetime rates of AUD of 29% in the United States and at least 8% globally1, and economic costs of alcohol consumption estimated at 2.6% of the global gross domestic product2. Most individuals with AUD never seek treatment3, one reason for which is reluctance to fully abstain from alcohol. Although abstinence has typically been used to define success in AUD treatment, fewer than one-third of individuals achieve alcohol abstinence in AUD treatment4.
The Food and Drug Administration (FDA) has long utilized abstinence as a responder-based primary surrogate endpoint for improvement in how a patient “feels and functions” after treatment in alcohol clinical trials. In 2006, FDA approved long acting naltrexone (Vivitrol®) based on the event rate of heavy drinking days (defined as ≥4 drinks for females and 5 drinks for males per occasion). In 2015, FDA guidance5 recommended two primary endpoints: abstinence or no heavy drinking days. However, using these drinking endpoints, relatively few patients are defined as “successfully treated.” The validity of abstinence and heavy drinking cutoffs has been questioned6–8, especially since neither drinking endpoint captures the large reductions in drinking often observed in alcohol treatment trials4,6,9,10.
In 2025, using the World Health Organization (WHO) Risk Drinking Levels (RDLs) metric (Box 1), the FDA qualified a reduction of drinking by at least two levels11 as a primary endpoint for alcohol clinical trials12, which is also an approved intermediate drinking harm reduction endpoint in the European Medicines Agency (EMA) regulatory guidance13. These approvals of drinking reductions as a drinking endpoint that validly indicates successful treatment align with an accumulating literature on drinking reductions in the alcohol field for which this article provides a brief overview. We then provide a narrative review of papers that examined WHO RDLs as a surrogate marker of how people with AUD feel and function and studies that examined reductions in WHO RDLs as an endpoint for alcohol clinical trials.
Box 1: World Health Organization risk drinking levels
| World Health Organization Risk Drinking Levels (for males) | |||||
|---|---|---|---|---|---|
| No risk | Low risk | Medium risk | High risk | Very high risk | |
| Drinks per day (in grams) | 0 | 1–40 | 41–60 | 61–100 | ≥ 101 |
| Drinks per day (approximate U.S. standard drinks, 14 g) | 0 | <2.9 | 2.9-<4.3 | 4.3–7.1 | ≥ 7.1 |
| Drinks per week (in grams) | 0 | 1–280 | 281–420 | 421–700 | ≥701 |
| Drinks per week (approximate U.S. standard drinks, 14 g) | 0 | <=20 | 21–30 | 31–50 | ≥51 |
| World Health Organization Risk Drinking Levels (for females) | |||||
| No risk | Low risk | Medium risk | High risk | Very high risk | |
| Drinks per day (in grams) | 0 | 1–20 | 21–40 | 41–60 | ≥61 |
| Drinks per day (approximate U.S. standard drinks, 14 g) | 0 | <1.4 | 1.4-<2.9 | 2.9-<4.3 | ≥4.3 |
| Drinks per week (in grams) | 0 | 1–140 | 141–280 | 281–420 | >420 |
| Drinks per week (approximate U.S. standard drinks, 14 g) | 0 | <10 | 11–20 | 21–30 | ≥31 |
Drinking Reductions as an Outcome and Target in Alcohol Clinical Trials
Drinking reductions have been studied in the alcohol field for over 50 years14, pioneered by the development of a behavioral treatment targeting reduced drinking15,16, with drinking reductions assessed using the Timeline Follow-Back method17. The Timeline Follow-Back is a calendar-based interview that quantifies the amount of alcohol consumed and the frequency of drinking on a daily basis, which can also be assessed using daily diaries or other mobile health tools18,19. The Timeline Follow-Back remains a widely-used standard assessment of self-reported alcohol use, accepted by the FDA, that can be used to measure a range of different drinking endpoints for alcohol clinical trials, including the WHO risk drinking levels.
Many researchers and clinicians have since targeted drinking reductions20 and examined continuous drinking reductions (e.g., reductions in percent heavy drinking days) as alternatives to the FDA binary responder definitions of abstinence or no heavy drinking days21. The European EMA guidance for alcohol clinical trials13 recommends several harm reduction endpoints, including reductions in total alcohol consumption, reductions in heavy drinking days, and a reduction in WHO RDL of at least two levels as an intermediate endpoint. The regulatory approvals of nalmefene for AUD in both Europe22,23 and Japan24,25 were based on reductions in drinking as primary endpoints.
Despite the inclusion of the WHO RDLs in the EMA guidance13, until recently, very few studies23,26,27 have validated the WHO RDLs, related them to improvement in social or physical functioning, or examined them in the context of alcohol clinical trials. Thus, in 2015, the question of whether the WHO RDLs could validly be used as an endpoint for alcohol clinical trials became the focus of the Alcohol Clinical Trials Initiative (ACTIVE)28,29, a public-private partnership of academics, the FDA, the National Institute on Alcohol Abuse and Alcoholism (NIAAA), and pharmaceutical companies. The ACTIVE group has since published 16 papers examining the WHO RDLs. This article reviews these papers and additional research that has examined reductions in WHO RDLs in association with how individuals feel and function, or as an endpoint in alcohol clinical trials.
METHODS
This report presents a narrative review of papers that examined WHO RDLs published by the ACTIVE group or identified based on a literature search conducted on February 19, 2025, for empirical articles using the PubMed database with the search terms “World Health Organization,” risk, alcohol, drinking, and level. The search identified a total of 229 papers. We focused on empirical papers in English, not including reviews, case reports, or dissertations, that accomplished one of two goals: (1) examined the validity of the WHO RDLs as a surrogate marker of how people feel and function; and (2) examined the WHO RDLs as an endpoint (i.e., primary or secondary outcome) in an alcohol clinical trial examining a pharmacotherapy. Of the 229 papers identified for the current review, we excluded 195 (Figure 1). Thus, the current review focused on 34 papers that examined the WHO RDLs in association with how individuals feel and function (n=27) or examined the WHO RDLs as an outcome in alcohol clinical trials (n=7).
Figure 1.

PRISMA flowchart for review
RESULTS
WHO Risk Drinking Level Associations with Patient Functioning
Studies that examined the WHO RDLs with respect to how individuals feel and function (n=27) were further subdivided into epidemiological studies (n=8) and studies that examined the WHO RDLs in community or clinical settings (n=19). A summary of the constructs studied and findings is included in Box 2.
Box 2: Validation of WHO risk drinking levels in epidemiological and clinical trial data, where “X” indicates significant associations or non-significant (“NS”) findings between external validators in column headers and WHO risk drinking levels
| Reference (sample size) | AUD criteria / diagnosis | Alcohol-related consequences | Drug diagnosis | Psychiatric symptoms / diagnosis | Medical symptoms / disease | Functioning / Quality of life | Biomarkers / Brain-based metrics |
|---|---|---|---|---|---|---|---|
| Hasin (n=22,005)32 | X | ||||||
| Knox (n=21,925)33 | X | ||||||
| Knox (n=1,058)34 | X | ||||||
| Knox (n=22,005)35 | X | ||||||
| Knox (n=22,005)36 | X | ||||||
| Shmulewitz (n=25,659)37 | X | X | X | X | X | ||
| Barbosa (n=36,309)38 | X | ||||||
| Niemelä (n=22,327)39 | X | ||||||
| Conigrave (n=1863)26 | X | ||||||
| Witkiewitz (n=1142)44 | X | ||||||
| Durazzo (n=75)40 | X | ||||||
| May (n=68)41 | X | ||||||
| May (n=85)42 | X | ||||||
| Witkiewitz (n=1383)45 | X | X | X | ||||
| Witkiewitz (n=1226)46 | X | X | X | X | |||
| Witkiewitz (n=2125)47 | X | X | X | X | |||
| Witkiewitz (n=1500)48 | X | X | X | ||||
| Aldridge (n=964)49 | X (health costs) | ||||||
| Garcia (n=346)55 | X (sleep) | ||||||
| Tuchman (n=1873)53 | X (craving) | ||||||
| Richards (n=346)54 | X | ||||||
| Mejldal (n=693)56 | X | X | X | ||||
| Reid (n=1436)57 | X | NS | X | ||||
| Roerecke (n=641)50 | X (mortality) | ||||||
| Evon (n=162)58 | X (motivation) | ||||||
| Mitchell (n=297)59 | X | X | |||||
| Stevenson (n=241)60 | X | NS | NS | NS |
Note. NS = non-significant finding, X = significant association between WHO risk-level reductions and column header
Epidemiological studies.
Seven of the eight epidemiological studies were conducted using data from the U.S. National Epidemiological Survey of Alcohol and Related Conditions (NESARC) surveys30,31, four of which focused on change in RDL and change in disease prevalence. Hasin and the ACTIVE group32 examined WHO RDLs in the NESARC wave 1 (2001–2002) to wave 2 (2004–2005) surveys, and found reductions in WHO RDLs across waves were associated with significantly lower odds of alcohol dependence diagnosis at wave 2. Knox and the ACTIVE group followed up these analyses by showing that reductions in WHO RDLs were also associated with lower odds of liver disease33, cardiovascular disease34, drug use disorder diagnosis35, and depression and anxiety disorder diagnoses36 at wave 2.
Shmulewitz and the ACTIVE group conducted an analysis of the NESARC-III data (2012 2013) and found that prevalence of AUD, drug use disorder, liver disease, and any depression or anxiety disorder diagnosis were significantly higher among individuals drinking at higher WHO RDLs37. Shmulewitz and the ACTIVE group also examined functional impairment in NESARC wave 1 and NESARC-III and found that functional impairment was significantly greater among high and very high risk drinkers, as compared to low risk drinkers, in both surveys37. Using the NESARC-III data, Barbosa and colleagues38 also examined continuous health-related quality of life and found lower average health-related quality of life at higher WHO RDLs. A large nationally representative study39 conducted in Finland found that individuals with higher WHO RDLs had greater gamma glutamyltransferase (GGT), alanine aminotransferase (ALT), C-reactive protein (CRP), and lower serum lipid levels than abstainers.
Community/Clinical studies.
In the first study of WHO RDLs, Conigrave and colleagues26 found that WHO RDLs were significantly associated with alcohol biomarkers in a large sample of individuals recruited from community treatment programs in five countries (Australia, Brazil, Canada, Finland, Japan). Three studies that examined WHO RDLs and neuroimaging markers of brain health or function found drinking at higher WHO RDLs was associated with smaller cortical volume40,41 and lower N-acetylaspartate concentration levels42, as compared to abstainers and those drinking at lower risk drinking levels.
Several clinical studies used data from the COMBINE study43, a large randomized clinical trial of medications for AUD conducted in the United States, to examine reductions in WHO RDLs and improvements in how individuals feel and function. Witkiewitz and the ACTIVE group44 found that reductions in WHO RDLs were associated with significant improvements in alcohol biomarkers, including carbohydrate-deficient transferrin (CDT), GGT, aspartate aminotransferase (AST), as well as ALT and systolic blood pressure from baseline to the end of treatment in the COMBINE study. Additional analyses of COMBINE study data found that reductions in WHO RDLs were also associated with significant improvements in quality of life44, mental health45, and physical health46, as well as reductions in alcohol-related consequences45 at the end of treatment and up to one year following treatment. All of these studies found clinically meaningful improvements with at least 1- or 2-level reductions in WHO RDLs among those at high or very high-risk levels prior to treatment. These findings were replicated in data from a clinical trial conducted in the United Kingdom47 and across three years following treatment in two separate studies conducted in the U.S.48. Secondary analyses of the COMBINE study data by Aldridge and the ACTIVE group49 found reductions in WHO RDLs during treatment were associated with 52% lower health care costs in the year following treatment and 44% lower health care costs over three years following treatment. Roerecke and colleagues50 found reductions in WHO RDLs were associated with reduction in mortality risk.
The FDA qualification package that led to approval of the WHO RDLs as a primary endpoint for alcohol clinical trials12 included several validation studies using data from the COMBINE study43 and NIAAA sponsored trials examining varenicline51 and extended-release gabapentin52. The qualification package12 provided further evidence that reductions in WHO RDLs were associated with improvements in mental health, quality of life, and alcohol-related consequences, as well as reductions in alcohol craving53 and AUD criteria54, as well as lower risk of AUD diagnosis54. Using the extended release gabapentin dataset, an additional paper led by the ACTIVE group found reductions in WHO RDLs were associated with improvements in sleep quality55. Consistent with prior work, these studies also found clinically meaningful improvements with at least 1- or at least 2-level reductions in WHO RDLs among those at high or very high-risk levels prior to treatment.
Several studies have examined the correspondence between WHO RDLs and functioning in the context of unique clinical trial populations. Mejldal and colleagues56 studied reductions in WHO RDLs among older adults (60 years old+) who received psychotherapy and found reductions in WHO RDLs were significantly associated with reductions in alcohol-related consequences and AUD criteria, as well as significant improvements in quality of life. Reid and colleagues57 examined WHO RDLs among college students receiving brief alcohol interventions and found that individuals at higher WHO RDLs had greater alcohol-related consequences and those at the very high-risk level had significantly worse school functioning.
Three studies examined the WHO RDLs in the context of nonpharmacological alcohol treatment trials for individuals with comorbid medical or psychiatric diseases. In the context of alcohol treatment for individuals with hepatitis C, Evon58 found reductions in WHO RDLs were associated with significant improvements in motivation to change alcohol use, greater self-efficacy, and greater use of alcohol reduction strategies. Among adolescents with comorbid ADHD, Mitchell59 showed that reductions in WHO RDLs were associated with improvements in global functioning and reductions in ADHD symptoms. Finally, in a study of individuals receiving treatment for AUD and comorbid anxiety disorder60, achieving reductions in WHO RDLs predicted lower alcohol dependence symptom severity at the end of treatment.
WHO Risk Drinking Levels in Alcohol Pharmacotherapy Clinical Trials
Seven papers examined reductions in WHO risk drinking level as an endpoint in alcohol clinical trials testing a pharmacological treatment. For each trial we provide the original statistics reported in the paper, when reported, including the percent of individuals who achieved WHO risk level reductions, and differences between active medication and placebo using odds ratios (OR) or Cohen’s h, 95% confidence intervals (CI), and number needed to treat (NNT). A summary of the findings from each study is included in Box 3.
Box 3: Examining the WHO Risk Drinking Levels in Alcohol Clinical Trials
| Medication | ||
|---|---|---|
| Reference (sample size) | Cohen’s h or Odds Ratio or % achieving reduction | NNT (vs placebo) |
| Aubin (n=667)27 | One-level: Not reported | NA |
| Two-level: OR (95% CI) =1.87 (1.35, 20.59) | 7 | |
| Castera (n=262)62 | One-level: Not reported | NA |
| Two-level: 55% achieved drinking reductions | NA | |
| Naltrexone | ||
| Falk (n=590)63 | One-level: Cohen’s h (95% CI)=0.12 (−0.05, 0.28) | 23 |
| Two-level: Cohen’s h (95% CI)=0.21 (0.05, 0.38) | 11 | |
| Topiramate | ||
| Falk (n=364)63 | One-level: Cohen’s h (95% CI)=0.01 (−0.19, 0.22) | 144 |
| Two-level: Cohen’s h (95% CI)=0.23 (0.02, 0.44) | 9 | |
| Hartwell (n=308)65 | One-level: (Cohen’s h (95% CI)=0.26 (0.03, 0.50) | 7.8 |
| Two-level: Cohen’s h (95% CI)=0.19 (−0.04, 0.42) | 14.5 | |
| Varenicline | ||
| Falk (n=200)63 | One-level: Cohen’s h (95% CI)=0.34 (0.05, 0.62) | 7 |
| Two-level: Cohen’s h (95% CI)=0.27 (−0.006, 0.55) | 8 | |
| Nieto (n=165)66 | One-level: Cohen’s h (95% CI)=0.24 (−0.06, 0.55) | 8.6 |
| Two-level: Cohen’s h (95% CI)=−0.03 (−0.34, 0.27) | -- | |
| Gabapentin | ||
| Falk (n=346)52 | One-level: OR (95% CI)=0.87 (0.48, 1.58) | 90.9 |
| Two-level: OR (95% CI)=1.11 (0.69, 1.80) | 30.3 | |
| Samidorphan | ||
| O’Malley (n=406)68 | One-level: OR = 1.60 (95% CI Not reported) | 5.6 |
| Two-level OR = 2.22 (95% CI Not reported) | 5.6 |
Note. NNT = Number needed to treat; NA = information not reported to estimate NNT, -- = the placebo condition had a better response than medication.
Nalmefene.
Aubin and colleagues27 conducted a secondary analysis of nalmefene trials22,61 that examined nalmefene versus placebo among the subgroup of patients at high or very high risk WHO levels at baseline23. A significantly greater odds of achieving a two-level reduction in WHO RDLs was found in the nalmefene condition (57% achieved), compared to placebo (42% achieved). Castera and colleagues62 also examined nalmefene in the context of an open-label trial in primary care, finding that 55% of patients reduced their drinking by at least two WHO RDLs over a three month study period.
Naltrexone, Topiramate, and Varenicline.
Falk and the ACTIVE group63 led a secondary analysis study of reductions in WHO RDLs in three randomized clinical trials of naltrexone43, topiramate64, and varenicline51. In this study, reductions in WHO RDLs were examined as a responder endpoint compared with the FDA-recommended endpoints of abstinence and no heavy drinking days. A significantly greater proportion of patients on naltrexone (75%) versus placebo (65%) achieved at least a two-level reduction, a significantly greater proportion of patients on varenicline (70%) versus placebo (54%) achieved at least a one-level reduction, and a significantly greater proportion of patients on topiramate (45%) versus placebo (34%) achieved at least a two-level reduction. Importantly, reductions in WHO RDLs were as sensitive or more sensitive than FDA-recommended endpoints of abstinence and no heavy drinking days in detecting medication effects versus placebo. Response rates for abstinence and no heavy drinking days were much lower across conditions (naltrexone: abstinence 34.7%, no heavy drinking days 51%; varenicline: abstinence 7.3%, no heavy drinking days 24%; topiramate: abstinence 11.7%, no heavy drinking days 20.7%).
Two additional secondary analysis papers examined the effects of topiramate65 and varenicline with or without naltrexone among heavy-drinking smokers66 in predicting reductions in WHO RDLs following treatment. Results from the topiramate65 study indicated significant effects of topiramate versus placebo in predicting at least a one-level reduction (topiramate: 50%, placebo: 37%), although topiramate was not significantly associated with at least a two-level reduction (topiramate: 18%, placebo: 12%). Results from the varenicline/naltrexone study66 indicated that heavy-drinking smokers who received varenicline and naltrexone had greater, although not statistically significant, reductions in WHO RDLs over time relative to the varenicline and placebo conditions (varenicline/naltrexone: 42%, placebo: 30%). Importantly, the original report67 also did not find any significant effects of varenicline/naltrexone versus varenicline and placebo on drinking outcomes, in essence confirming a negative study.
Gabapentin.
The FDA qualification package12 included findings from one study of extended-release gabapentin52, which did not find effects of gabapentin versus placebo on reductions in WHO RDLs, or any of the other drinking endpoints. In that study, 52% achieved at least a two-level reduction on placebo, and 55% achieved the reduction on gabapentin.
Samidorphan.
Samidorphan, an opioid antagonist, was tested in a phase 2 multisite randomized clinical trial68 for individuals with AUD. Results from an analysis of WHO RDL reductions indicated that generally, the samidorphan-treated groups had a greater proportion of patients who achieved at least a one- or two-level reduction across doses versus placebo. Patients with the 1 mg dose of samidorphan were significantly more likely to achieve at least a two-level reduction at a 12-week follow-up (samidorphan: 44%, placebo 26%).
DISCUSSION
Some data suggest that no safe level of drinking exists with respect to morbidity for most diseases and mortality, and that risk increases with higher levels of consumption69–71. Likewise, decreased levels of drinking are monotonically associated with decreased levels of risk10,72. The literature reviewed above indicates that drinking reductions are associated with improvements in how people feel and function across a range of physical, psychological, and functional domains. Specifically, drinking reductions are associated with reduced AUD criteria, lower risk of AUD, other drug use disorder, and psychiatric diagnoses, and reductions in alcohol-related consequences, psychiatric symptoms, medical symptoms, craving, and health care costs. There are also reported improvements in functioning, quality of life, motivation to change drinking, and sleep quality. Among those individuals entering treatment who were drinking at high or very high-risk levels, reducing by at least one- or two-WHO risk levels was associated with clinically meaningful improvements.
For individuals with AUD who seek alcohol treatment, the results from seven clinical trials indicate that WHO risk level reductions are achieved by most patients and a much larger proportion of patients achieved WHO risk level reductions than alternative FDA approved endpoints of abstinence and no heavy drinking days. Further, for many of the medications studied in this review, individuals who received active medications were more likely to achieve at least one- or two-risk level reductions than those randomized to placebo, and those studies that did not find significant medication effects using WHO risk level reductions also did not demonstrate significant effects of medications for other drinking outcomes (e.g., percent heavy drinking days, percent days abstinent). Across most trials, achieving at least a two-level reduction was more sensitive to medication effects than a one-level reduction.
A substantial treatment gap exists for AUD, whereby most individuals with AUD do not receive treatment and few receive medications4. Multiple reasons may underlie the treatment gap, including general perceptions of treatment as being solely abstinence-based, provider perceptions that medications are not effective, and the general lack of FDA-approved medications to treat AUD4,10,28. The FDA acceptance of reduction in WHO RDLs as another primary endpoint for alcohol clinical trials10 is a paradigm shift that may open more opportunities for medications development. Further, more patients with AUD might become interested in treatments that target drinking reductions, and providers may become more interested in prescribing novel medications that have been shown to be highly effective in achieving drinking reductions. As such, these opportunities parallel medical conditions such as treatments for high blood pressure, excessive weight, diabetes, and many others where reductions, rather than cure, lead to long-lasting health and social benefits.
The WHO RDLs may be particularly useful in clinical practice. Patients’ drinking can be assessed and then categorized to provide clear feedback on current level of risk. This can be an opening to a conversation with patients about their preferred level of risk. Providers can also discuss the benefits of achieving even a one-level reduction, with potentially even greater benefits for reducing by at least two or more levels. WHO RDLs can be assessed and monitored using paper diaries, calendars, or mobile applications73,74.
Future research examining reductions in WHO RDLs as an efficacy endpoint for clinical trials should consider several unresolved issues. First, the papers reviewed in this study and the FDA qualified endpoint assess the WHO RDLs based on grams per day (averaged across days). Taking an average across days acknowledges that drinking patterns are likely more indicative of how people feel and function over time than the amount of drinking on any one occasion. Subsequent research has examined WHO RDLs using both grams per day and per occasion drinking57 and future studies should consider the population and outcomes of interest in examining WHO RDLs using grams per day versus per occasion. The second issue involves individuals who are already drinking at low or medium risk levels and cannot reduce by two or more levels. Future studies should study the validity of the one-level reduction endpoint for individuals who enter treatment at medium risk. The third issue is how the WHO RDLs compare to other continuous drinking outcome measures commonly reported in alcohol clinical trials (e.g., percent heavy drinking days) and how these measures may be more or less sensitive than WHO RDLs in relation to how patients feel and function, as well as medication effect sizes. It is often the case that continuous measures have more statistical power than binary outcomes75, however it is unclear whether that is the case in alcohol clinical trials and, thus, more research is needed. A fourth issue is that future research should examine WHO RDL reductions in trials of the FDA approved AUD medications, disulfiram and acamprosate, which were not examined in the studies reviewed in this paper.
Finally, the FDA qualification of the WHO risk drinking maintains the FDA guidance5 for clinical trial length of 6 months to demonstrate medication efficacy. However, evidence regarding appropriate trial length is lacking. Several studies in the current review provide evidence of the durability of WHO risk drinking level reductions over time46,56 with trial lengths of 4 months or less. Further, reductions achieved in a 3- or 4-month trial are stable even up to three years following treatment48. Future research should examine whether trials of 6 month duration are necessary to establish efficacy and safety of medications in improving how patients feel and function. Additionally, work is needed to study the implementation of WHO RDLs in clinical practice settings, particularly with respect to patient and provider perspectives on targeting reductions in WHO RDLs.
This review highlights the evidence that achieving drinking reductions as defined by the WHO RDLs are associated with substantial health and social benefits. FDA acceptance of reductions in the WHO RDLs as a valid clinical endpoint could encourage the development of medications for AUD by providing an endpoint that captures improvement among more patients. Additionally, the WHO RDLs are used in Europe and elsewhere, and thus has the potential to promote international consistency in regulatory guidance on accepted endpoints. Finally, more individuals might seek treatment for excessive alcohol use, while providing clinicians a tool to communicate treatment success and health benefit to their patients.
Acknowledgements:
Raye Z. Litten Ph.D. and Daniel E. Falk Ph.D. led the qualification effort of the World Health Organization risk drinking levels as a clinical outcome assessment with the Food and Drug Administration. Drs. Litten and Falk provided significant analysis and guidance on the corpus of work exploring reductions in risk drinking levels in clinical trial and epidemiological samples - much of which formed the basis of this overview.
Role of Funding Source:
This work was supported by NIAAA (R01AA022328). The NIAAA had no role in study design, analysis and interpretation of data, writing of the report, or the decision to submit it for publication.
Conflict of Interest:
KW, RFA, KM, BLS, AA, and SSO are members of Alcohol Clinical Trials Initiative (ACTIVE) Workgroup, which had been supported over a decade by up to 19 pharmaceutical companies at various times. Most recently (within the last 3 years) ACTIVE has been supported by Alkermes, Dicerna Pharmaceuticals, Eli Lilly and Company, Indivior Inc., Imbrium Therapeutics, Pear Therapeutics, and Kinnov Therapeutics. Dr Witkiewitz reported receiving personal fees from Eli Lilly and company outside the submitted work. Dr Anton reported receiving personal fees from Alkermes, Imbrium Therapeutics, Dicerna Pharmaceuticals, Denovo Biopharma, Sophosyne, Beam Therapeutics, Kinnov Therapeutics, Revel, Nanexa, Nirsum, Eli Lilly and Company, and Altimmune outside the submitted work. Dr O’Malley reported receiving nonfinancial support (study medications) from Stalicla, Novartis, and Amygdala Neurosciences; personal fees from Newleos, Dicerna, the University of New Mexico, Indiana University, and the Emmes Company, LLC; grants from Altimmune (site for a clinical trial), Tempero Bio (site for a clinical trial), and the National Institutes of Health and US Food and Drug Administration outside the submitted work. In addition, Dr O’Malley reported having a patent pending for Mavoglurant for gambling disorder with Yale and Novartis. Dr Silverman reported receiving personal fees from Nirsum Laboratories, Sophrosyne Pharmaceuticals, Tempero Bio, and Newleos outside the submitted work. In addition, Dr Silverman reported having a patent issued for morphinan derivatives for the treatment of drug overdose. No other disclosures were reported.
References
- 1.Glantz MD, Bharat C, Degenhardt L, et al. The epidemiology of alcohol use disorders cross-nationally: Findings from the World Mental Health Surveys. Addictive Behaviors. 2020;102:106128. doi: 10.1016/J.ADDBEH.2019.106128 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Manthey J, Hassan SA, Carr S, Kilian C, Kuitunen-Paul S, Rehm J. What are the Economic Costs to Society Attributable to Alcohol Use? A Systematic Review and Modelling Study. Pharmacoeconomics. 2021;39(7):809–822. doi: 10.1007/s40273-021-01031-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Tucker JA, Chandler SD, Witkiewitz K. Epidemiology of recovery from alcohol use disorder. Alcohol Research: Current Reviews. 2020;40((30)). doi: 10.35946/arcr.v40.3.02 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Witkiewitz K, Litten RZ, Leggio L. Advances in the science and treatment of alcohol use disorder. Science advances. 2019;5(9):eaax4043. doi: 10.1126/sciadv.aax4043 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Food and Drug Administration. Alcoholism: Developing Drugs for Treatment.; 2015. http://www.regulations.gov/#!documentDetail;D=FDA-2015-D-0152-0001
- 6.Pearson MR, Kirouac M, Witkiewitz K. Questionning the validity of the 4+/5+ binge or heavy drinking criterion in college and clinical populations. Addiction. 2016;111(10):1720–1726. doi:doi: 10.1111/add.13210 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Hagman BT, Falk D, Litten R, Koob GF. Defining Recovery From Alcohol Use Disorder: Development of an NIAAA Research Definition. Am J Psychiatry. 2022;179(11):807–813. doi: 10.1176/appi.ajp.21090963 [DOI] [PubMed] [Google Scholar]
- 8.Witkiewitz K, Tucker JA. Abstinence not required: Expanding the definition of recovery from alcohol use disorder. Alcoholism: Clinical and Experimental Research. 2020;44(1):36–40. doi: 10.1111/acer.14235 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Witkiewitz K, Pearson MR, Hallgren KA, et al. Who achieves low risk drinking during alcohol treatment? An analysis of patients in three alcohol clinical trials. Addiction. 2017;112(12):2112–2121. doi: 10.1111/add.13870 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Mann K, Aubin HJ, Witkiewitz K. Reduced Drinking in Alcohol Dependence Treatment, What Is the Evidence? European Addiction Research. 2017;23(5):219–230. doi: 10.1159/000481348 [DOI] [PubMed] [Google Scholar]
- 11.World Health Organization (WHO). International Guide for Monitoring Alcohol Consumption and Related Harm. World Health Organization; 2000. [Google Scholar]
- 12.Food and Drug Administration. DDT-COA-000110, WHO Risk Drinking Levels of Alcohol Consumption. U.S. Government; 2025. https://force-dsc.my.site.com/ddt/s/ddt-project?ddtprojectid=33 [Google Scholar]
- 13.European Medicines Agency. Guideline on the Development of Medicinal Products for the Treatment of Alcohol Dependence. European Medicines Agency; 2010. [Google Scholar]
- 14.Marlatt GA, Witkiewitz K. Harm reduction approaches to alcohol use: Health promotion, prevention, and treatment. Addictive Behaviors. 2002;27(6):867–886. doi: 10.1016/S0306-4603(02)00294-0 [DOI] [PubMed] [Google Scholar]
- 15.Sobell MB, Sobell L. Second year treatment outcome of alcoholics treated by individualized behavior therapy: results. Behaviour Research and Therapy. 1976;14(3):195–215. [DOI] [PubMed] [Google Scholar]
- 16.Sobell MB, Sobell LC. Alcoholics treated by individualized behavior therapy: One year treatment outcome. Behaviour Research and Therapy. 1973;11(4):599–618. doi: 10.1016/0005-7967(73)90118-6 [DOI] [PubMed] [Google Scholar]
- 17.Sobell LC, Sobell MB. Timeline Follow-Back: A Technique for Assessing Self-Reported Alcohol Consumption. (Litten RZ, Allen JP, eds.). Human Press; 1992. http://search.proquest.com/psycinfo/docview/618232357/13607B0066F5980EE41/1?accountid=14902 [Google Scholar]
- 18.Rueger SY, Trela CJ, Palmeri M, King AC. Self-Administered Web-Based Timeline Followback Procedure for Drinking and Smoking Behaviors in Young Adults. J Stud Alcohol Drugs. 2012;73(5):829–833. doi: 10.15288/jsad.2012.73.829 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Merrill JE, Fan P, Wray TB, Miranda R. Assessment of Alcohol Use and Consequences: Comparison of Data Collected Via Timeline Followback Interview and Daily Reports. J Stud Alcohol Drugs. 2020;81(2):212–219. doi: 10.15288/jsad.2020.81.212 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Davis AK, Rosenberg H. Acceptance of non-abstinence goals by addiction professionals in the United States.: Bulletin of the society of psychologists in addictive behaviors: Bulletin of the society of psychologists in substance abuse. Psychology of Addictive Behaviors. 2013;27(4):1102–1109. doi: 10.1037/a0030563 [DOI] [PubMed] [Google Scholar]
- 21.Belnap MA, McManus KR, Grodin EN, Ray LA. Endpoints for Pharmacotherapy Trials for Alcohol Use Disorder. Pharmaceut Med. 2024;38(4):291–302. doi: 10.1007/s40290-024-00526-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Mann K, Bladström A, Torup L, Gual A, van den Brink W. Extending the treatment options in alcohol dependence: a randomized controlled study of as-needed nalmefene. Biological Psychiatry. 2013;73(8):706–713. doi: 10.1016/j.biopsych.2012.10.020 [DOI] [PubMed] [Google Scholar]
- 23.van den Brink W, Aubin HJ, Bladström A, Torup L, Gual A, Mann K. Efficacy of as-needed nalmefene in alcohol-dependent patients with at least a high drinking risk level: results from a subgroup analysis of two randomized controlled 6-month studies. Alcohol and Alcoholism. 2013;48(5):570–578. doi: 10.1093/alcalc/agt061 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Higuchi S, Takahashi M, Murai Y, et al. Long-term safety and efficacy of nalmefene in Japanese patients with alcohol dependence. Psychiatry Clin Neurosci. 2020;74(8):431–438. doi: 10.1111/pcn.13017 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Miyata H, Takahashi M, Murai Y, et al. Nalmefene in alcohol-dependent patients with a high drinking risk: Randomized controlled trial. Psychiatry Clin Neurosci. 2019;73(11):697–706. doi: 10.1111/pcn.12914 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Conigrave KM, Degenhardt LJ, Whitfield JB, et al. CDT, GGT, and AST As Markers of Alcohol Use: The WHO/ISBRA Collaborative Project. Alcoholism: Clinical and Experimental Research. 2002;26(3):332–339. doi: 10.1111/j.1530-0277.2002.tb02542.x [DOI] [PubMed] [Google Scholar]
- 27.Aubin HJ, Reimer J, Nutt DJ, et al. Clinical relevance of as-needed treatment with nalmefene in alcohol-dependent patients. European Addiction Research. 2015;21(3):160–168. doi: 10.1159/000371547 [DOI] [PubMed] [Google Scholar]
- 28.Anton RF, Litten RZ, Falk DE, et al. The Alcohol Clinical Trials Initiative (ACTIVE): purpose and goals for assessing important and salient issues for medications development in alcohol use disorders. Neuropsychopharmacology. 2012;37(2):402–411. doi: 10.1038/npp.2011.182 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Anton RF, O’Malley SS, Mann K, Silverman BL. The Evolution of a Reduction in Drinking Goal for Alcohol Use Disorder Pivotal Medication Clinical Trials and Overall Patient Care. Published online 2025. [Google Scholar]
- 30.Hasin DS, Grant BF. The National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) Waves 1 and 2: review and summary of findings. Social Psychiatry and Psychiatric Epidemiology. 2015;50(11):1609–1640. doi: 10.1007/s00127-015-1088-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Grant BF, Goldstein RB, Saha TD, et al. Epidemiology of DSM-5 Alcohol Use Disorder: Results From the National Epidemiologic Survey on Alcohol and Related Conditions III. JAMA Psychiatry. 2015;72(8):757–766. doi: 10.1001/jamapsychiatry.2015.0584 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Hasin DS, Wall M, Witkiewitz K, et al. Change in non-abstinent WHO drinking risk levels and alcohol dependence: a 3 year follow-up study in the US general population. Lancet Psychiatry. 2017;4(6):469–476. doi: 10.1016/S2215-0366(17)30130-X [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Knox J, Wall M, Witkiewitz K, et al. Reduction in nonabstinent WHO drinking risk levels and change in risk for liver disease and positive AUDIT-C scores: Prospective 3-year follow-up results in the U.S. general population. Alcoholism: Clinical and Experimental Research. 2018;42(11):2256–2265. doi: 10.1111/acer.13884 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Knox J, Scodes J, Witkiewitz K, et al. Reduction in World Health Organization Risk Drinking Levels and Cardiovascular Disease. Alcohol Clin Exp Res. 2020;44(8):1625–1635. doi: 10.1111/acer.14386 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Knox J, Wall M, Witkiewitz K, et al. Reduction in non-abstinent World Health Organization (WHO) drinking risk levels and drug use disorders: 3-year follow-up results in the US general population. Drug Alcohol Depend. 2019;201:16–22. doi: 10.1016/j.drugalcdep.2019.03.020 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Knox J, Scodes J, Wall M, et al. Reduction in non-abstinent WHO drinking risk levels and depression/anxiety disorders: 3-year follow-up results in the US general population. Drug Alcohol Depend. 2019;197:228–235. doi: 10.1016/j.drugalcdep.2019.01.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Shmulewitz D, Aharonovich E, Witkiewitz K, et al. The World Health Organization Risk Drinking Levels Measure of Alcohol Consumption: Prevalence and Health Correlates in Nationally Representative Surveys of U.S. Adults, 2001–2002 and 2012–2013. Am J Psychiatry. 2021;178(6):548–559. doi: 10.1176/appi.ajp.2020.20050610 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Barbosa C, Bray J, Dowd W, Barnosky A, Wittenberg E. SF-6D Utility Scores for Alcohol Use Disorder Status and Alcohol Consumption Risk Levels in the US Population. Addiction. 2021;116(5):1034–1042. doi: 10.1111/add.15224 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Niemelä O, Nivukoski U, Bloigu A, Bloigu R, Aalto M, Laatikainen T. Laboratory test based assessment of WHO alcohol risk drinking levels. Scandinavian Journal of Clinical and Laboratory Investigation. 2019;79(1–2):58–64. doi: 10.1080/00365513.2019.1571625 [DOI] [PubMed] [Google Scholar]
- 40.Durazzo TC, Stephens LH, Kraybill EP, May AC, Meyerhoff DJ. Regional cortical brain volumes at treatment entry relates to post treatment WHO risk drinking levels in those with alcohol use disorder. Drug and Alcohol Dependence. 2024;255:111082. doi: 10.1016/j.drugalcdep.2024.111082 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.May AC, Meyerhoff DJ, Durazzo TC. Non-abstinent recovery in alcohol use disorder is associated with greater regional cortical volumes than heavy drinking. Alcohol, Clinical and Experimental Research. 2023;47(10):1850–1858. doi: 10.1111/acer.15169 [DOI] [PubMed] [Google Scholar]
- 42.May AC, Stephens LH, Kraybill EP, Meyerhoff DJ, Durazzo TC. Frontal Brain N-Acetylaspartate at Treatment Entry is Related to Future WHO Risk Drinking Levels in Individuals with Alcohol Use Disorder. J Stud Alcohol Drugs. Published online August 10, 2024:jsad.24–00168. doi: 10.15288/jsad.24-00168 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Anton RF, O’Malley SS, Ciraulo DA, et al. Combined pharmacotherapies and behavioral interventions for alcohol dependence: the COMBINE study: a randomized controlled trial. JAMA. 2006;295(17):2003–2017. doi: 10.1001/jama.295.17.2003 [DOI] [PubMed] [Google Scholar]
- 44.Witkiewitz K, Kranzler HR, Hallgren KA, et al. Drinking risk level reductions associated with improvements in physical health and quality of life among individuals with alcohol use disorder. Alcoholism: Clinical and Experimental Research. 2018;42(12):2453–2465. doi: 10.1111/acer.13897 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Witkiewitz K, Hallgren KA, Kranzler HR, et al. Clinical validation of reduced alcohol consumption after treatment for alcohol dependence using the World Health Organization risk drinking levels. Alcoholism: Clinical and Experimental Research. 2017;41(1):179–186. doi: 10.1111/ACER.13272 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Witkiewitz K, Falk DE, Litten RZ, et al. Maintenance of World Health Organization Risk Drinking Level Reductions and Posttreatment Functioning Following a Large Alcohol Use Disorder Clinical Trial. Alcohol Clin Exp Res. 2019;43(5):979–987. doi: 10.1111/acer.14018 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Witkiewitz K, Heather N, Falk DE, et al. World Health Organization risk drinking level reductions are associated with improved functioning and are sustained among patients with mild, moderate and severe alcohol dependence in clinical trials in the United States and United Kingdom. Addiction. 2020;115(9):1668–1680. doi: 10.1111/add.15011 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Witkiewitz K, Kranzler HR, Hallgren KA, et al. Stability of Drinking Reductions and Long-term Functioning Among Patients with Alcohol Use Disorder. J Gen Intern Med. 2021;36(2):404–412. doi: 10.1007/s11606-020-06331-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Aldridge AP, Zarkin GA, Dowd WN, et al. The Relationship Between Reductions in WHO Risk Drinking Levels During Treatment and Subsequent Healthcare Costs for the ACTIVE Workgroup. J Addict Med. 2022;16:425–432. doi: 10.1097/ADM.0000000000000925 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Roerecke M, Sørensen P, Laramée P, Rahhali N, Rehm J. Clinical relevance of nalmefene versus placebo in alcohol treatment: Reduction in mortality risk. Journal of Psychopharmacology. 2015;29(11):1152–1158. doi: 10.1177/0269881115602487 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Litten RZ, Ryan ML, Fertig JB, et al. A double-blind, placebo-controlled trial assessing the efficacy of varenicline tartrate for alcohol dependence. J Addict Med. 2013;7(4):277–286. doi: 10.1097/ADM.0b013e31829623f4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Falk DE, Ryan ML, Fertig JB, et al. Gabapentin Enacarbil Extended-Release for Alcohol Use Disorder: A Randomized, Double-Blind, Placebo-Controlled, Multisite Trial Assessing Efficacy and Safety. Alcoholism: Clinical and Experimental Research. 2019;43(1):158–169. doi: 10.1111/acer.13917 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Tuchman FR, Hallgren KA, Richards DK, et al. Reductions in WHO risk drinking levels correlate with alcohol craving among individuals with alcohol use disorder. Alcohol Clin Exp Res (Hoboken). 2024;48(2):420–429. doi: 10.1111/acer.15257 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Richards DK, Tuchman FR, Hallgren KA, et al. Reductions in World Health Organization Risk Drinking Level Are Associated With Reductions in Alcohol Use Disorder Diagnosis and Criteria: Evidence From an Alcohol Pharmacotherapy Trial. Journal of Addiction Medicine. 2024;18(4):418. doi: 10.1097/ADM.0000000000001303 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Garcia CC, Richards DK, Tuchman FR, et al. Reductions in World Health Organization risk drinking level are associated with improvements in sleep problems among individuals with alcohol use disorder. Alcohol Alcohol. 2024;59(3):agae022. doi: 10.1093/alcalc/agae022 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Mejldal A, Andersen K, Behrendt S, et al. Stability of Posttreatment Reductions in World Health Organization (WHO) Drinking Risk Levels and Posttreatment Functioning in Older Adults with DSM-5 Alcohol Use Disorder: Secondary Data Analysis of the Elderly Study. Alcohol Clin Exp Res. 2021;45(3):638–649. doi: 10.1111/acer.14562 [DOI] [PubMed] [Google Scholar]
- 57.Reid AE, Cho GY, Carey KB, Witkiewitz K. World Health Organization Risk Drinking Levels Among Mandated College Students: Associations With Alcohol Use, Mental Health, and Academic Performance. J Stud Alcohol Drugs. 2024;85(4):522–527. doi: 10.15288/jsad.23-00074 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Evon DM, Yao J, Zimmer C, Muir AJ, Hendershot CS, Proeschold-Bell RJ. Psychological processes and alcohol reduction in patients with chronic hepatitis C: Results from the HepART trial. Alcohol, Clinical and Experimental Research. 2024;48(8):1541–1551. doi: 10.1111/acer.15400 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Mitchell HM, Park G, Hammond CJ. Are non-abstinent reductions in World Health Organization drinking risk level a valid treatment target for alcohol use disorders in adolescents with ADHD? Addictive Behaviors Reports. 2020;12:100312. doi: 10.1016/j.abrep.2020.100312 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Stevenson BL, Anker J, Thuras P, Rinehart L, Kushner MG. World Health Organization (WHO) Risk Level Reductions in Inpatients with Alcohol Use Disorder and Comorbid Anxiety Disorders. Psychol Addict Behav. 2023;37(5):713–722. doi: 10.1037/adb0000895 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Gual A, He Y, Torup L, van den Brink W, Mann K, ESENSE 2 Study Group. A randomised, double-blind, placebo-controlled, efficacy study of nalmefene, as-needed use, in patients with alcohol dependence. Eur Neuropsychopharmacol. 2013;23(11):1432–1442. doi: 10.1016/j.euroneuro.2013.02.006 [DOI] [PubMed] [Google Scholar]
- 62.Castera P, Stewart E, Großkopf J, et al. Nalmefene, Given as Needed, in the Routine Treatment of Patients with Alcohol Dependence: An Interventional, Open-Label Study in Primary Care. Eur Addict Res. 2018;24(6):293–303. doi: 10.1159/000494692 [DOI] [PubMed] [Google Scholar]
- 63.Falk DE, O’Malley SS, Witkiewitz K, et al. Evaluation of Drinking Risk Levels as Outcomes in Alcohol Pharmacotherapy Trials: A Secondary Analysis of 3 Randomized Clinical Trials. JAMA Psychiatry. 2019;76(4):374–381. doi: 10.1001/jamapsychiatry.2018.3079 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Johnson BA, Rosenthal N, Capece JA, et al. Topiramate for treating alcohol dependence: a randomized controlled trial. JAMA: the journal of the American Medical Association. 2007;298(14):1641–1651. doi: 10.1001/jama.298.14.1641 [DOI] [PubMed] [Google Scholar]
- 65.Hartwell EE, Feinn R, Witkiewitz K, Pond T, Kranzler HR. World Health Organization risk drinking levels as a treatment outcome measure in topiramate trials. Alcohol Clin Exp Res. 2021;45(8):1664–1671. doi: 10.1111/acer.14652 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Nieto SJ, Enders CK, Witkiewitz K, O’Malley SS, Ray LA. Combination treatment with varenicline and naltrexone reduces World Health Organization risk drinking levels. Alcoholism: Clinical and Experimental Research. 2022;46(12):2258–2266. doi: 10.1111/acer.14953 [DOI] [PubMed] [Google Scholar]
- 67.Ray LA, Green R, Enders C, et al. Efficacy of Combining Varenicline and Naltrexone for Smoking Cessation and Drinking Reduction: A Randomized Clinical Trial. Am J Psychiatry. 2021;178(9):818–828. doi: 10.1176/appi.ajp.2020.20070993 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.O’Malley SS, Todtenkopf MS, Du Y, Ehrich E, Silverman BL. Effects of the Opioid System Modulator, Samidorphan, on Measures of Alcohol Consumption and Patient-Reported Outcomes in Adults with Alcohol Dependence. Alcoholism: Clinical and Experimental Research. 2018;42(10):2011–2021. doi: 10.1111/acer.13849 [DOI] [PubMed] [Google Scholar]
- 69.GBD 2016 Alcohol Collaborators MG, Fullman N, Hawley C, et al. Alcohol use and burden for 195 countries and territories, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet. 2018;392(10152):1015–1035. doi: 10.1016/S0140-6736(18)31310-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.English DR, Holman C, Milne E, et al. The Quantification of Drug Caused Morbidity and Mortality in Australia, 1995 Edition. Commonwealth Department of Human Services and Health; 1995. [Google Scholar]
- 71.Rehm J, Roerecke M. Reduction of Drinking in Problem Drinkers and All-Cause Mortality. Alcohol and Alcoholism. 2013;48(4):509–513. doi: 10.1093/alcalc/agt021 [DOI] [PubMed] [Google Scholar]
- 72.Charlet K, Heinz A. Harm reduction - a systematic review on effects of alcohol reduction on physical and mental symptoms. Addiction Biology. 2017;22(5):1119–1159. doi: 10.1111/adb.12414 [DOI] [PubMed] [Google Scholar]
- 73.Oldham M, Beard E, Loebenberg G, et al. Effectiveness of a smartphone app (Drink Less) versus usual digital care for reducing alcohol consumption among increasing-and-higher-risk adult drinkers in the UK: a two-arm, parallel-group, double-blind, randomised controlled trial. eClinicalMedicine. 2024;70. doi: 10.1016/j.eclinm.2024.102534 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Merrill JE, Gebru NM, Peterson R, et al. Alcohol Feedback, Reflection, and Morning Evaluation (A-FRAME): Refining and testing feasibility and acceptability of a smartphone-delivered alcohol intervention for heavy-drinking young adults. Alcohol, Clinical and Experimental Research. 2024;48(10):1951–1964. doi: 10.1111/acer.15424 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.MacCallum RC, Zhang S, Preacher KJ, Rucker DD. On the practice of dichotomization of quantitative variables. Psychological Methods. 2002;7(1):19–40. [DOI] [PubMed] [Google Scholar]
