Notice bibliographique
Résumé
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
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,003 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».