The Urgency Of Providing Comprehensive And Integrated Treatment For Substance Abusers With HIV
Bibliographic record
Abstract
Substance abuse is linked to many new cases of HIV infection. Barriers such as the myth that drug users cannot adhere to HIV/AIDS treatment block progress in curbing the spread of HIV in that population. In this article we explain the need to aggressively seek out high-risk, hard-to-reach substance abusers and to offer them HIV testing, access to treatment, and the necessary support to remain in treatment--both for HIV and for substance abuse. We summarize evidence showing that injection drug users can successfully undergo HIV treatment; that many substance abusers adhere to antiretroviral therapy as well as do people who don't inject drugs; and that injection drug users who undergo substance abuse treatment are more likely to obtain and stay in treatment for their HIV infection. This evidence makes a strong case for integrating substance abuse treatment with HIV treatment programs and providing substance abusers with universal access to HIV treatment. But an integrated strategy will require changes in the health care system to overcome lingering obstacles that inhibit the merging of substance abuse treatment with HIV programs.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".