Evidence map›Paper›PMID 35073161›Full record

ArticleCannabis and cannabinoid research2023

Selective Changes in Medical Cannabis Use Early in the COVID-19 Pandemic: Findings from a Web-Based Sample of Adults in the United States.

Stephanie Lake, Ryan D Assaf, Pamina M Gorbach, Ziva D Cooper

Open access · greenAbstract read
In one paragraph

Article in Cannabis and cannabinoid research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.1field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Shifts in medical cannabis use in Canada during the COVID-19 pandemic.Health promotion and chronic disease prevention in Canada : research, policy and practice · 2023
    Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Stephanie LakeUCLA Cannabis Research Initiative, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, California, USA.
Ryan D AssafUCLA Cannabis Research Initiative, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, California, USA.
Pamina M GorbachUCLA Cannabis Research Initiative, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, California, USA.
Ziva D CooperUCLA Cannabis Research Initiative, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, California, USA.ORCID 0000-0001-8001-2332
California NanoSystems Institute · US

Funding

MSM and Substances Cohort at UCLA Linking Infections Noting Effects (MASCULINE) U01DA036267 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GORBACH, PAMINA MAE, SHOPTAW, STEVEN J · 2013 to 2024
$20.5M
Sex-dependent effects of cannabis: Assessing abuse-related and pharmacokinetic differences between men and womenR01DA047296 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI COOPER, ZIVA D · 2019 to 2024
$3.5M
NIDA NIH HHS R01 DA047296NIDA NIH HHS U01 DA036267
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

CannabisCOVID-19HallucinogensMedical MarijuanaAdultCannabinoid Receptor AgonistsFemaleHumansInternetPandemicsRetrospective StudiesUnited StatesCannabinoid Receptor AgonistsHallucinogensMedical MarijuanaanxietycannabisCOVID-19medical cannabissurveyUnited States

Identifiers

PMID35073161
PMCPMC9940798
OpenAlexW4207037798

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.