Evidence map›Paper›PMID 38722220›Full record

Observational studyJMIR mental health2024

Emerging Trends of Self-Harm Using Sodium Nitrite in an Online Suicide Community: Observational Study Using Natural Language Processing Analysis.

Sudeshna Das, Drew Walker, Swati Rajwal, Sahithi Lakamana, Steven A Sumner, Karin A Mack, Wojciech Kaczkowski, Abeed Sarker

Abstract readObservational Study
In one paragraph

Observational study in JMIR mental health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Large-Scale Analysis of Online Questions Related to Opioid Use Disorder on Reddit.Proceedings of the ... International AAAI Conference on Weblogs and Social Media. International AAAI Conference on Weblogs and Social Media · 2025
    Article
  4. 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

8 authors.

Sudeshna DasDepartment of Biomedical Informatics, School of Medicine, Emory University, Atlanta, GA, United States.ORCID 0000-0002-2112-6986
Drew WalkerDepartment of Behavioral, Social, and Health Education Sciences, Rollins School of Public Health, Emory University, Atlanta, GA, United States.ORCID 0000-0002-4216-2396
Swati RajwalDepartment of Computer Science and Informatics, Emory University, Atlanta, GA, United States.ORCID 0000-0002-3826-5069
Sahithi LakamanaDepartment of Biomedical Informatics, School of Medicine, Emory University, Atlanta, GA, United States.ORCID 0000-0003-1304-7484
Steven A SumnerNational Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0002-3805-7235
Karin A MackNational Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0001-9274-3001
Wojciech KaczkowskiNational Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0001-7083-8579
Abeed SarkerDepartment of Biomedical Informatics, School of Medicine, Emory University, Atlanta, GA, United States.ORCID 0000-0001-7358-544X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: There is growing concern around the use of sodium nitrite (SN) as an emerging means of suicide, particularly among younger people. Given the limited information on the topic from traditional public health surveillance sources, we studied posts made to an online suicide discussion forum, "Sanctioned Suicide," which is a primary source of information on the use and procurement of SN. Objective: This study aims to determine the trends in SN purchase and use, as obtained via data mining from subscriber posts on the forum. We also aim to determine the substances and topics commonly co-occurring with SN, as well as the geographical distribution of users and sources of SN. Methods: We collected all publicly available from the site's inception in March 2018 to October 2022. Using data-driven methods, including natural language processing and machine learning, we analyzed the trends in SN mentions over time, including the locations of SN consumers and the sources from which SN is procured. We developed a transformer-based source and location classifier to determine the geographical distribution of the sources of SN. Results: Posts pertaining to SN show a rise in popularity, and there were statistically significant correlations between real-life use of SN and suicidal intent when compared to data from the Centers for Disease Control and Prevention (CDC) Wide-Ranging Online Data for Epidemiologic Research (⍴=0.727; P<.001) and the National Poison Data System (⍴=0.866; P=.001). We observed frequent co-mentions of antiemetics, benzodiazepines, and acid regulators with SN. Our proposed machine learning-based source and location classifier can detect potential sources of SN with an accuracy of 72.92% and showed consumption in the United States and elsewhere. Conclusions: Vital information about SN and other emerging mechanisms of suicide can be obtained from online forums.

Indexed as

Natural Language ProcessingSelf-Injurious BehaviorSodium NitriteAdultFemaleHumansInternetMaleSocial MediaSuicideYoung AdultSodium Nitriteaccuracyadolescentconsumptiondata mininginformationjuvenilemachine learningmental healthnatural language processingonline forumonline suicide communitypublic healthSanctioned Suicideself harmsodium nitritesodium nitrite sourcessuicidalsuicidesurveillanceUnited StatesUSusage

Identifiers

PMID38722220
PMCPMC11085041

What OpenQuestion holds

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Registered trials

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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.