Exploring Needs and Expectations of Spouses of Addicted Men in Iran: A Qualitative Study
Bibliographic record
Abstract
Addiction is one of the major problems that affect everyone in the society especially the spouses of addicted men who have to face a large number of problems which are the consequences of their husband's addiction. This qualitative study was conducted to explore the needs and expectations of women who are living with their addicted husband in Iran. Twenty-four spouses of addicted men participated in this study. The participants were interviewed and each interview was analyzed via the content analysis method. The results of this study showed that the women's difficulties were related to their approach to the treatment, or their husbands' response to the treatment, financial constraints and emotional and informational needs. Moreover, these Iranian women expected more stringent control by the government on the phenomenon of addiction and drug trafficking with a view of having a drug-free country. The needs and expectations of the wives of addicted men are context-based and should be assessed separately between individuals, families, and communities. In addition to the addicted person, it is vitally important that the health of the family members of drug addicts be taken into account and for whom supportive services be provided.
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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".