Twitter Analysis Found Mostly Positive Sentiment About CBD for Insomnia | Research

The takeaway

Sentiment analysis of 25,005 relevant tweets about CBD for insomnia found mostly positive perceptions of effectiveness, though clinical evidence remains limited.

People considering CBD for sleep, sleep researchers, CBD product regulators

25,005 relevant tweets showed predominantly positive CBD-for-insomnia sentiment

What the researchers found

From 74,562 unique tweets, 25,005 were classified as relevant to CBD for insomnia. Topic modeling revealed 11 major themes including perceived efficacy for anxiety, pain, and insomnia, plus practical considerations like routines and product preferences. Sentiment analysis showed predominantly positive perceptions of CBD for insomnia. About 45% of related studies report positive effects on both anxiety and sleep.

Why it matters

While clinical trial evidence for CBD and insomnia is still limited, millions of people are already using CBD for sleep. This social media analysis captures real-world patient perceptions at scale, providing a complementary data source to traditional clinical research.

The numbers in context

74,562 unique tweets collected, June 2018-January 2023. 25,005 classified as relevant. 11 major themes identified. Predominantly positive sentiment. ~45% of existing studies report positive effects on both anxiety and sleep outcomes.

How the study worked

Sentiment analysis study collecting English-language tweets about CBD for insomnia from June 2018 to January 2023. A RoBERTa-based machine learning model classified tweets as relevant or noise. Topic modeling and sentiment analysis were performed on relevant tweets.

What this study cannot tell us

Social media data are inherently biased toward people willing to share experiences publicly. Twitter/X users may not represent the broader CBD-using population. Sentiment analysis cannot measure actual treatment efficacy. Tweets may reflect placebo effects, marketing influence, or selection bias (positive experiences more likely to be shared).

How to read the evidence

Preliminary evidence from social media sentiment analysis, which captures perceptions rather than clinical outcomes.

When this study was published

2025 study analyzing tweets from June 2018 to January 2023.

The bigger picture

The gap between widespread consumer use of CBD for sleep and the limited clinical evidence base is a major challenge for evidence-based medicine. Social media analysis cannot replace clinical trials but can help identify patient experiences and priorities that should inform future research directions.

Questions still open

Do people reporting positive CBD-for-sleep experiences on social media actually show objective sleep improvements? How does industry marketing influence public sentiment about CBD for insomnia? Would a placebo-controlled trial confirm the positive perceptions found here?

Common questions

Do people think CBD helps with sleep?

Based on analysis of over 25,000 relevant tweets, the public sentiment toward CBD for insomnia is predominantly positive. However, social media sentiment does not constitute clinical evidence, and rigorous trials of CBD for insomnia are still limited.

What does the clinical evidence show?

The study notes that approximately 45% of existing studies report positive effects of cannabinoids on both anxiety and sleep. However, substantial differences in study design, cannabinoid types, and dosing make it difficult to draw definitive conclusions.

Read the original research

Assessing patient perceptions of off-label cannabidiol use for insomnia through sentiment analysis.

Journal of cannabis research, 7(1), 94

View on PubMed ↗Publisher’s paper ↗

Citation

Pereira, Gabriel Rodrigues Coutinho; de Brito Mantuan, Altobelli; Dos Santos Oliveira, Julio Cesar; Fares, Gabriel Estevão Silva; Dos Santos Santiago Sá, Vitor Manoel; de Sousa, Valéria Pereira; Rodrigues, Carlos Rangel; Cabral, Lucio Mendes. (2025). Assessing patient perceptions of off-label cannabidiol use for insomnia through sentiment analysis.. Journal of cannabis research, 7(1), 94. https://doi.org/10.1186/s42238-025-00306-7