Prevalence of Cannabis Use and Factors Related to Hospitalizations in the United States: A Population-Based Study Using National Inpatient Sample Between 2012 and 2018

Sulley, Saanie; Ndanga, Memory; Saka, Abimbola K

doi:10.7759/cureus.28361

Cited by 2 publications

(3 citation statements)

References 37 publications

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“…Various jurisdictions have decriminalized or regulated psychedelics for adult use ( 54 ). Regulated cannabis use illustrates the harms and opportunity costs of misdirected policies that promoted charlatanism ( 55 ), consumption-based businesses ( 56 ), health and psychosis risks concentrated in young socially dispossessed BIPOC men ( 57 ), and increased suicide and alcohol deaths ( 58 ). Whether concurrent declines in racially biased policing and incarceration ( 59 ) balance such harms may be “unanswerable” ( 60 ).…”

Section: Clinical and Policy Prioritiesmentioning

confidence: 99%

Lifeboat ethics, risk, and therapeutic opportunity: an appeal for equitable psychedelic therapy access in the “high-risk” addiction patient

Black

2023

Front. Psychiatry

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Psychedelic-assisted treatment (PAT) for mental health is in renaissance. Psilocybin and MDMA stand near FDA approval, and US cities and states are decriminalizing or regulating the non-clinical use of psilocybin. However, neither FDA indications nor a regulated use model sufficiently address the complex needs and opportunities for an improved treatment of addiction. When paired with disability and social dispossession, addiction increasingly burdens informal care networks, public safety, and particularly healthcare systems. Stigma and mistreatment alienate people from opportunities for care and multiply the costs of providing care. This dynamic worsens socially determined resource limitations, enforcing stark ethical choices and perpetuating socioeconomic inequities, isolation, mental illness, medical illness, overdose, suicide, and violence. In order for psychedelic treatments to achieve their greatest utility to population health, we must intentionally develop regulatory, clinical, and payment systems supporting clinical research, rigorous safety monitoring, and implementation to address these immense needs and reduce the barriers to engagement for those who now bear the costs, including those who work at the front lines of addiction care. To achieve full fruition, I advocate for a collaborative approach, built from within networks of mutual social support but linked and accountable to public institutions charged with the equitable dissemination of these therapies for the greatest social and health equities. Rather than relegating PAT to the needs of the commercially insured or wellness markets, this is the moment to learn from ancient traditions of ritualized sacramental use, organized around faith in our mutual dependency and accountability, and to capture an opportunity to improve population health and equity. To miss this opportunity is to accept the status quo in the midst of a growing emergency, for lack of moral vision and intention to change our habits.

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Section: Clinical and Policy Prioritiesmentioning

confidence: 99%

Lifeboat ethics, risk, and therapeutic opportunity: an appeal for equitable psychedelic therapy access in the “high-risk” addiction patient

Black

2023

Front. Psychiatry

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“…There is a growing recognition of the importance of addressing depression as a public health priority, and efforts are being made at both national and international levels to identify risk factors and promote effective treatments 8–10 . As the stigma around mental health decreases and more people seek help for depression, access to coverage for depression care through insurance is also increasing 11–13 . With rising levels of psychological stress due to occupation and other factors, effective strategies are urgently needed to prevent and treat depression.…”

Section: Introductionmentioning

confidence: 99%

“…[8][9][10] As the stigma around mental health decreases and more people seek help for depression, access to coverage for depression care through insurance is also increasing. [11][12][13] With rising levels of psychological stress due to occupation and other factors, effective strategies are urgently needed to prevent and treat depression.…”

Section: Introductionmentioning

confidence: 99%

Exploring Depression and Nutritional Covariates Amongst US Adults using Shapely Additive Explanations

Huang,

Huang

2023

Health Science Reports

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BackgroundDepression affects personal and public well‐being and identification of natural therapeutics such as nutrition is necessary to help alleviate this public health concern.ObjectiveThe study aimed to identify feature importance in a machine learning model using solely nutrition covariates.MethodsA retrospective analysis was conducted using a modern, nationally representative cohort, the National Health and Nutrition Examination Surveys (NHANES 2017−2020). Depressive symptoms were evaluated using the validated 9‐item Patient Health Questionnaire (PHQ‐9), and all adult patients (total of 7929 individuals) who completed the PHQ‐9 and total nutritional intake questionnaire were included in the study. Univariable regression was used to identify significant nutritional covariates to be included in a machine learning model and feature importance was reported. The acquisition and analysis of the data were authorized by the National Center for Health Statistics Ethics Review Board.Results7929 patients met the inclusion criteria in this study. The machine learning model had 24 out of a total of 60 features that were found to be significant on univariate analysis (p < 0.01 used). In the XGBoost model the model had an Area Under the Receiver Operator Characteristic Curve (AUROC) = 0.603, Sensitivity = 0.943, Specificity = 0.163. The top four highest ranked features by gain, a measure of the percentage contribution of the covariate to the overall model prediction, were Potassium Intake (Gain = 6.8%), Vitamin E Intake (Gain = 5.7%), Number of Foods and Beverages Reported (Gain = 5.7%), and Vitamin K Intake (Gain 5.6%).ConclusionMachine learning models with feature importance can be utilized to identify nutritional covariates for further study in patients with clinical symptoms of depression.

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Prevalence of Cannabis Use and Factors Related to Hospitalizations in the United States: A Population-Based Study Using National Inpatient Sample Between 2012 and 2018

Cited by 2 publications

References 37 publications

Lifeboat ethics, risk, and therapeutic opportunity: an appeal for equitable psychedelic therapy access in the “high-risk” addiction patient

Lifeboat ethics, risk, and therapeutic opportunity: an appeal for equitable psychedelic therapy access in the “high-risk” addiction patient

Exploring Depression and Nutritional Covariates Amongst US Adults using Shapely Additive Explanations

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