History of alcohol abuse reduces response to antipsychotics in people with first episode psychosis
Bibliographic record
Abstract
Green AI, Tohen MF, Hamer RM, et al . First episode schizophrenia-related psychosis and substance use disorders: acute response to olanzapine and haloperidol. Schizophr Res 2004;66:125–35.[OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] Q What is the prevalence of substance use disorder among people with first episode psychosis, and does substance use disorder affect response to antipsychotic drugs? ### ![Graphic][5]</img>Design: Randomised controlled trial. ### ![Graphic][6]</img>Allocation: Unclear. ### ![Graphic][7]</img>Blinding: Double blind. ### ![Graphic][8]</img>Follow up period: 12 week acute phase followed by a 92 week continuation phase (total 2 years). ### ![Graphic][9]</img>Setting: Fourteen academic medical centres in North America and Western Europe (part of a larger trial comparing olanzapine v haloperidol). ### ![Graphic][10]</img>Patients: 262 people aged 16–40 years, with schizophrenia, schizophreniform or schizoaffective disorder (DSM-IV), presenting with first episode psychosis. Participants scored ⩾4 on the Positive and Negative Syndrome Scale (PANSS) and had a Clinical Global Impression (CGI) severity score ⩾4. Exclusions: substance use in previous month, received antipsychotic drugs for more than 16 weeks, unstable … [1]: {openurl}?query=rft.jtitle%253DSchizophrenia%2Bresearch%26rft.stitle%253DSchizophr%2BRes%26rft.aulast%253DGreen%26rft.auinit1%253DA.%2BI.%26rft.volume%253D66%26rft.issue%253D2-3%26rft.spage%253D125%26rft.epage%253D135%26rft.atitle%253DFirst%2Bepisode%2Bschizophrenia-related%2Bpsychosis%2Band%2Bsubstance%2Buse%2Bdisorders%253A%2Bacute%2Bresponse%2Bto%2Bolanzapine%2Band%2Bhaloperidol.%26rft_id%253Dinfo%253Adoi%252F10.1016%252Fj.schres.2003.08.001%26rft_id%253Dinfo%253Apmid%252F15061244%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/external-ref?access_num=10.1016/j.schres.2003.08.001&link_type=DOI [3]: /lookup/external-ref?access_num=15061244&link_type=MED&atom=%2Febmental%2F7%2F3%2F87.atom [4]: /lookup/external-ref?access_num=000188064000005&link_type=ISI [5]: /embed/inline-graphic-1.gif [6]: /embed/inline-graphic-2.gif [7]: /embed/inline-graphic-3.gif [8]: /embed/inline-graphic-4.gif [9]: /embed/inline-graphic-5.gif [10]: /embed/inline-graphic-6.gif
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".