Episodic memory and inhibitory control in people who inject substances results of cohort COSINUS study
Bibliographic record
Abstract
BACKGROUND: Cognitive disorders associated with addictive disorders are well established in the literature for numerous substances and behaviours. Very few studies have examined the effect of polydrug use on cognitive functioning. These studies have focused on the cognitive effect of one substance among others in very small samples. They did not take into account HCV/HIV infections, which are highly prevalent among polydrug users due to frequent injections and sharing of materials and whose impact on cognition is well documented. In our study, we aim to investigate two critical cognitive functions in the addiction process, memory and inhibitory control, in a population of people who inject substances (PWIS). METHOD: Thanks to the COSINUS Cohort, we evaluated polydrug use of PWIS, inhibitory control, and memory in 383 PWIS by administering the Go/No-go test and the 5-word test. PWIS were recruited in drug consumption rooms (DCRs) and harm reduction facilities. RESULTS: 93% of PWIS are polydrug users. Our findings demonstrate typical effects of substance use on memory, revealing a deficit associated with age, along with risky alcohol and cannabis use, while showing a potential benefit from the use of psychostimulants. We found a positive impact of educational level on impulsivity. PWIS who request job assistance and education training exhibit lower free recall compared to the others. HCV/HIV infections are associated with a negative effect on cognition, but the results are mixed. DCR attendance is associated with a positive effect on both memory and inhibitory control. CONCLUSION: Our study confirms the importance of screening for cognitive deficits in polydrug users, improving specific treatment for cognitive deficits in PWIS through appropriate mental health care, and encouraging multidisciplinary harm reduction and psychiatry care.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".