Subjective responses to simultaneous alcohol and cannabis use relative to alcohol‐only use and cannabis‐only use: An ecological momentary assessment investigation
Bibliographic record
Abstract
BACKGROUND: Few studies have examined subjective responses to simultaneous alcohol and cannabis use in naturalistic settings. The current study used ecological momentary assessment (EMA) to compare subjective responses between simultaneous use and both alcohol-only use and cannabis-only use sessions, while also examining the moderating role of quantities of alcohol and cannabis consumed at both the session and person levels. METHODS: Young adults (N = 149, 59.73% women) reporting recent simultaneous use completed three 21-day EMA bursts, spaced 6 months apart. Participants completed a survey each time they initiated a new session of alcohol or cannabis use, along with two hourly follow-up surveys. Surveys assessed alcohol use (quantities), cannabis use (quantities, forms of cannabis), and current acute subjective responses. RESULTS: At the session level, simultaneous use (vs. alcohol-only use) was associated with greater peak sedation and intoxication, with the latter association strengthened during sessions involving relatively lighter drinking. Simultaneous use sessions also involved greater peak liking ratings relative to alcohol-only use sessions, though only among participants who reported relatively lower average alcohol consumption. In addition, relative to cannabis-only use sessions, simultaneous use sessions were associated with greater peak energized and liking ratings, with the former association strengthened during sessions involving relatively heavier cannabis concentrate use. Simultaneous use sessions also involved lower peak sedated and anxious ratings relative to cannabis-only use sessions, though only among participants who reported relatively lighter average cannabis consumption. CONCLUSIONS: Overall, simultaneous use was experienced as more impairing (i.e., greater intoxication and sedation) than alcohol-only use and as more reinforcing (i.e., greater stimulation and liking) than cannabis-only use. Some differences in subjective responses between simultaneous use and single-substance use sessions depended on session-level or person-level consumption amounts, which may inform tailored interventions for simultaneous use.
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 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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".