Pregnant and lactating people’s strategies to mitigate the risk of cannabis consumption
Bibliographic record
Abstract
BACKGROUND: Multiple studies have demonstrated that pregnant and lactating people who use cannabis perceive a variety of benefits from that use, offering some explanation of why rates of use continue to increase. OBJECTIVES: The aim of this study was to explore pregnant and lactating people's perceptions of the risks of cannabis use and understand what steps, if any, they take to mitigate these risks. DESIGN: Qualitative description. METHODS: We analyzed semi-structured interviews with 52 Canadians who made the decision to start, stop, or continue using cannabis during pregnancy or lactation between 2019 and 2021. Data collection iterated with analysis. We used a conventional (inductive) approach to content analysis. RESULTS: Perception of risk was found to be an essential component of decision-making about cannabis use. We identified a cycle of "risk identification," "management," and "observation" of effects. First, the pregnant or lactating person assesses the risks and weighs them against the perceived benefits of cannabis use. Second, they take action to minimize risks, with some choosing abstinence. Others, often those who were using cannabis to manage symptoms, continued cannabis use but devised a variety of other risk mitigation strategies such as, decreasing the amount or frequency of their use, changing the form of cannabis, and strategically timing their use with caregiving responsibilities. The final stage of the cycle involves seeking information about whether or not the initial perceived risk has manifested after implementing mitigation strategies, through observations and clinical information about the pregnancy or child. CONCLUSION: Participants consistently engaged in deliberation about the risks and benefits associated with their perinatal cannabis use. Nearly all implemented strategies intended to minimize risk. Our results highlight the need for more research to inform clear public health messaging about risk mitigation to minimize the potential harms of perinatal cannabis use. This work informs clinicians about patient-perceived risks and mitigation strategies which could in turn help inform shared decision-making conversations.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".