Natural recovery from alcohol use disorders in Argentinean university students

Profiles of alcohol use disorder criteria: Help-seeking vs self-achieved remission in Argentinean hospital patients

This study aimed to identify alcohol use disorder (AUD) criteria that better characterized those who seek treatment and those who recover on their own. We gathered data from help-seeking (HS) patients in an alcohol unit and compared them with self-achieved remission (SAR) patients. The best criteria to predict HS were psychological problems due to use, physical problems due to use, repeated attempts or desire to stop using, and not being able to stop drinking. The best criteria to predict SAR were tolerance, craving, hazardous use, much time spent, larger/longer use than intended, and role impairment. We discuss the impact of these results in current efforts to improve the accuracy of AUD diagnosis.

Redressing responses to the treatment gap for people with alcohol problems: The overlooked role of untreated remission from alcohol problems

Abstract. Aims: The “treatment gap” for people with alcohol problems has been identified as very large in the literature. An array of responses to the treatment gap have been focussed upon, including changing the perceptions of untreated people in order to make them want treatment more. A separate approach identifies the treatment system itself as the cause of the treatment gap. The aim of this paper was to consider research on untreated remission from alcohol problems to better understand responses to the treatment gap. Methodology: Three areas of existing published literature were thematically reviewed and synthesised: treatment gap research, untreated remission from alcohol problems research, and treatment planning and system design research. Results: Including rates of untreated remission from alcohol problems reduces the size of the treatment gap considerably. Treatment planning models which estimate unmet demand are better suited than unmet need when identifying gaps in service provision. Responding to the treatment gap requires broadening the treatment system beyond the specialised setting, and the assumptions associated with the process and expected outcomes of remission may need revisiting. Conclusions: Treatment planning models are useful when identifying gaps in service provision, but more sophisticated inclusion of untreated remission data is required. The treatment response may need to be diversified to support the life circumstances and perspectives of people with alcohol problems, with one example (outlined in this paper) being the provision of digital support services.

Alcohol use disorder relapse factors: A systematic review

A relapsing-remitting course is very common in patients with an Alcohol Use Disorder (AUD). Understanding the determinants associated with alcohol resumption remains a formidable task. This paper examines relapse determinants based on a systematic review of recent alcohol literature (2000-2019). Relevant databases were consulted for articles that contained information about specific relapse determinants and reported statistical significance of each relapse determinant in predicting relapse. Relapse was broadly defined based on the characterization in the included articles. From the initial identified 4613 papers, a total of 321 articles were included. Results encompass multiple relapse determinants, which were ordered according to biopsychosocial and spiritual categories, and presented, using a descriptive methodology. Psychiatric co-morbidity, AUD severity, craving, use of other substances, health and social factors were consistently significantly associated with AUD relapse. Conversely, supportive social network factors, self efficacy, and factors related to purpose and meaning in life, were protective against AUD relapse. Despite heterogeneity in different methods, measures, and sample characteristics, these findings may contribute to a better therapeutic understanding in which specific factors are associated with relapse and those that prevent relapse. Such factors may have a role in a personalized medicine framework to improve patient outcomes.