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Record W4389067964 · doi:10.1176/appi.pn.2023.12.12.38

Addiction Psychiatry Presidential Theme: Alcohol

2023· article· en· W4389067964 on OpenAlexaboutno aff
Petros Levounis

Bibliographic record

VenuePsychiatric News · 2023
Typearticle
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsPsychiatryQuarter (Canadian coin)AddictionPresidential systemMental healthPublic healthTheme (computing)Substance abusePsychologyMedicinePolitical scienceHistoryNursing

Abstract

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Back to table of contents Previous article Next article From the PresidentFull AccessAddiction Psychiatry Presidential Theme: AlcoholPetros Levounis, M.D., M.A.Petros LevounisSearch for more papers by this author, M.D., M.A.Published Online:27 Nov 2023https://doi.org/10.1176/appi.pn.2023.12.12.38With the holiday season quickly approaching, half of our yearlong presidential campaign on addiction psychiatry is complete. This quarter, our focus shifts to alcohol use disorder (AUD), one of the most prevalent illnesses in America. According to the 2021 National Survey on Drug Use and Health, 28.6 million adults had AUD in 2021, in addition to an estimated 894,000 adolescents aged 12 to 17.Rates of AUD are greatly underreported as some who have symptoms consistent with AUD may not realize there is a problem and others who do may be too ashamed to reach out. Like other mental health and substance use disorders, not knowing that treatment is available and how to get it are a major barriers to getting people the help they need.At the same time, awareness campaigns around AUD seem to have improved the public’s knowledge about what constitutes problem drinking. In APA’s most recent Healthy Minds Monthly Poll conducted in concert with Morning Consult, Americans were able to identify three of the most problematic symptoms of AUD, namely an inability to stop drinking once started (39%), being unable to limit or reduce the amount one drinks (37%), and drinking that impacts relationships (37%).Unfortunately, public knowledge about the availability and effectiveness of treatments for AUD is still relatively low. Good news: Community-based support like 12-step programs are well known among the general public and have been helpful for millions, literally, around the globe. Not so good news: Other safe and effective interventions, such as cognitive-behavioral therapy; motivational interviewing; and, when necessary, medications like naltrexone, acamprosate, and disulfiram, are largely unfamiliar to both patients and providers.Helping patients and their families learn about, appreciate, and embrace AUD treatments is the major objective of this segment of our campaign. APA, our member psychiatrists, patient groups, and our partners in SUD treatment continue to explore opportunities for collaboration so that we can pool our resources and maximize our collective impact. Last month, APA, American Academy of Addiction Psychiatry, American Society of Addiction Medicine, and American Academy of Family Medicine jointly released the “Top Ten Things Everyone Should Know About Addiction” and the “Top Ten Things Every Physician Should Know About Addiction.” I couldn’t be happier that the small group we convened at APA headquarters in July has now completed a major, trans-organizational product that helps move the needle on addiction treatment in a very concrete and powerful way.I consider myself lucky to have had the support of both our members and the APA administration in undertaking this yearlong effort to increase public education and professional collaboration on addiction issues during my tenure as APA president. If you would like to support future presidents interested in similar endeavors, I encourage you to participate in APA’s 2024 election.Voting in APA elections is an excellent way to help chart the future of our organization and have a direct impact on what issues our Association prioritizes year to year. The full slate of candidates for 2024 was just released (see pages 8 and 9). Please visit APA’s election page to read candidate bios and identify candidates whose platform aligns with your values as a psychiatrist and personal vision for the future of APA. ■ResoucesTop Ten Things Everyone Should Know About AddictionTop Ten Things Every Physician Should Know About AddictionInformation on APA’s 2024 election, candidates, and guidelines. ISSUES NewArchived

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.346
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.003

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.

Opus teacher head0.024
GPT teacher head0.305
Teacher spread0.280 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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