“Cannabis: Stigmatized Wonder Drug | ENDEVR Documentary” 1.5M views

What the Comments Reveal (Beyond Views & Likes)

1.5M views and 19K likes — “Cannabis: Stigmatized Wonder Drug” from ENDEVR — as of October 16 2025. Out of 2,670 total comments, Shono AI analyzed a 784-comment sample to understand how engaged viewers actually feel.

Sentiment Snapshot

The tone leans positive, with most viewers expressing appreciation for the documentary’s clarity while some raised concerns or policy frustrations.

Emotional Pulse: Frustration Leads the Way

Frustration mixed with gratitude and curiosity paints a complex picture — viewers respect the film’s effort but remain impatient for legal reform and better education. The emotional range shows both skepticism and sincere appreciation for balanced information.

Comment Breakdown: Personal Stories and Complaints Dominate

The discussion is heavily experience-driven — many shared pain-relief stories or voiced frustration about outdated policies, mixed with thanks and thoughtful feedback.

ENDEVR’s Engagement in the Comments

Roughly 1 in 100 comments received a creator reply, and no hearts were issued — minimal interaction overall.

Burning Questions

Viewers urgently sought evidence-based guidance on where cannabis fits within medicine — from seizure control and chronic pain to anxiety and insomnia. They asked about safety, dosing, and the role of cannabinoid receptors, while comparing cannabis’s harms to opioids and alcohol. Policy-minded viewers pressed for updates on legalization across regions like Texas, Ireland, and South Africa, calling out inaccuracies in the map and outdated legal context. Overall, they wanted clarity, credibility, and direction on responsible medical use.

Feedback and Critiques

Many found the documentary enlightening and well-structured, appreciating its educational tone and responsible framing. Personal success stories validated its medical focus, while others called for updates to reflect current legalization and product standards. Concerns centered on outdated data and regional errors, requests for balanced potency information, and complaints about excessive ad interruptions. Viewers also highlighted the need for clearer safety standards, emphasizing whole-plant balance over high-THC isolates and more discussion around pediatric use and policy progress.

High Praise

Viewers described the film as one of the most informative and complete documentaries on cannabis, commending its clarity and depth. They valued how it simplified complex science and kept them engaged from start to finish. The vibrant comment section itself became part of the experience, extending the film’s impact and reinforcing the sense of shared curiosity and cultural resonance around the topic.

Opportunities for Future Content

1. Condition-by-condition relief playbook: migraines, neuropathic pain, fibromyalgia, PTSD/anxiety, insomnia, GI disorders, epilepsy — evidence, THC:CBD ratios, dosing, and outcome tracking.
2. Potency isn’t everything: why ultra-high THC can backfire, how to select balanced strains, and explaining the entourage effect.
3. Delivery methods demystified: edibles, tinctures, vaporizing, and topicals — onset, duration, and tolerance management.
4. Integrating cannabis with healthcare: doctor communication, medication interactions, insurance gaps, and budgeting for treatment.
5. 2025 legalization reality check: global and state-by-state status, workplace implications, and reform debates.
6. Endocannabinoid system 101: how it works, why responses differ, and lifestyle factors that optimize balance.

Wrapping Up

This audience values depth, balance, and updated context. ENDEVR’s strength lies in clarity and accessibility — adding timely legal and scientific updates, plus active comment engagement, would make future releases even more impactful. Shono AI captures these signals to help creators turn community feedback into focused storytelling and trust-building opportunities.

About This Analysis

Methodology & Limits

The analysis covers 784 unique comments out of 2,670 total, with spam and duplicates removed. AI models classified sentiment, emotion, and comment type to identify viewer intent and emerging themes.

Engagement rates reflect the analyzed sample only. Snapshot as of October 16 2025; values may shift as new comments appear.