Pharmacological Interventions for Alcohol Use Disorder in Older Adults: A Scoping Review
Bibliographic record
Abstract
Substance use disorders (SUDs) are a growing, yet underrecognized problem amongst the older adult population. SUDs are defined by patterns of substance use that can develop clinically significant impairment or distress - a significant burden for individuals, families, and societies. Relevant substances that will be explored in this study include alcohol. In Canada, despite national surveys, there is limited data on DSM-diagnosed substance use disorders in older adults. This becomes particularly concerning in the context of a growing global aging population. The proportion of individuals aged 50 and older with substance use disorders is increasing due to an aging population. In the United States, the 2024 National Survey on Drug Use and Health reported that approximately 2.9 million adults aged 65 or older met the criteria for past-year alcohol use disorder. SUD research defines older adults as 50 and older to capture midlife adults alongside traditionally defined older adult populations as individuals by 50 may already experience age-related changes that influence substance use behaviours. Due to differing physiological, neurobiological, and psychosocial changes associated with aging, the effectiveness and safety of pharmacological interventions for SUDs should be considered. For example, age-associated reduction in liver and kidney function impact drug metabolism and clearance, neurobiological alterations in terms of changes to neurotransmitter systems may influence efficacy of treatment, and polypharmacy or other social factors such as isolation may impact adherence to treatment. These trends and population differences highlight the need for appropriate evidence-based pharmacological strategies tailored to older adults. In this review, adults aged 50 years and older will be included to ensure sufficient evidence, while a subgroup of adults aged 65 years and above will be examined separately to explore findings relevant to traditionally defined older adults. This threshold aligns with prior literature examining substance use in midlife and older adults, which often defines older populations as those aged ≥50 years. Pharmacological interventions for AUDs include medications approved to assist with cessation, relapse prevention, and or withdrawal management. Medications commonly utilized to treat include naltrexone, acamprosate, disulfiram, and benzodiazepines. Common adverse effects associated with these medications include nausea, vomiting, diarrhea, loss of appetite, skin rashes, acne, drowsiness, dizziness, anxiety, constipation, headache, and weight gain. Substance use disorders in older adults are increasing in prevalence yet continue to be understudied. Most pharmacological research on SUDs focus on younger adults, thus possibly missing out on data that may indicate alterations in efficacy and safety in an older adult population. Preliminary searches of databases such as MEDLINE suggest a moderate number of studies that address pharmacological treatment of AUD in adults; however, many of them either restrict the inclusion criteria from ages 18 to 65, or do not focus on older adults as a primary interest group. In addition to this, many of the studies that do address pharmacological treatment of AUD in adults aged 50 and above are limited by small sample sizes, heterogeneity in intervention or outcome, or a lack of age-specific analyses. Given these constraints, a systematic review would not be appropriate as the focus of synthesizing evidence to determine intervention effectiveness would be difficult with limited rigorous eligible studies. Due to this, there is evidence that a scoping review is needed to map the literature while identifying any gaps to guide future research. This approach allows for inclusion of a diverse set of sources, including randomized studies, non-randomized (quasi-experimental) studies, and observational (non-experimental) studies. A previous review by Tampi et al. has explored pharmacological interventions for AUDs in older adults, but there are several limitations that justify the need for an updated scoping review. Firstly, the review was restricted to randomized controlled trials, excluding other study designs such as non-randomized or observational, that could be relevant and offer evidence on the intervention in older adults. The review found a total of two trials. Additionally, the study did not investigate a subgroup of adults aged 65 and older, potentially missing a distinct population with differing efficacy and safety of the pharmacological interventions. The review did not follow a formal scoping review methodology, and is now over four years old, which may be missing any new insights into this topic. Thus, with a broader range of study designs, focus on updated literature, subgroup analysis within the 65 and older group, this review will be a more comprehensive and methodologically robust coverage of current evidence. Objective: To explore the pharmacological interventions for AUD in older adults aged ≥50 years, including prevalence of use, patient characteristics, outcomes, adverse events and costs. We will include a subgroup analysis of those aged ≥65 years. Expected outcomes: A synthesis of evidence will clarify the certainty of evidence supporting pharmacological treatments for AUD in older adults as direct evidence in this population remains limited. This review will identify gaps in existing literature and inform future research and guideline development.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.019 | 0.041 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.005 | 0.005 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.006 | 0.009 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.955 | 0.911 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".