Ever since they started putting warning labels on smokes, cigarette companies have been pushing back, trying to keep selling their product even as the popular culture progressively shoved smokers, literally, into the corners of society.
Now, years after smoking was banned in most restaurants, the Food and Drug Administration is back to regulate cigarettes once again. According to reports in Reuters, the FDA wants tobacco companies to “reduce nicotine levels” in cigarettes while also taking steps to encourage smokers to shift to “potentially less harmful” e-cigarettes.

Ever since they started putting warning labels on smokes, cigarette companies have been pushing back, trying to keep selling their product even as the popular culture progressively shoved smokers, literally, into the corners of society.
Now, years after smoking was banned in most restaurants, the Food and Drug Administration is back to regulate cigarettes once again. According to reports in Reuters, the FDA wants tobacco companies to “reduce nicotine levels” in cigarettes while also taking steps to encourage smokers to shift to “potentially less harmful” e-cigarettes.

The Everything-PR Editorial Team produces reporting, research, and analysis across thirty verticals — communications, reputation, AI visibility, public affairs, media systems, and digital discovery in the answer-engine era. Publishing since 2009.
Other news
See all
The New Gatekeepers — How AI Is Rewriting Power in Public Relations
Artificial intelligence is redefining public relations, with algorithms increasingly shaping information flow. This article examines the implications of this shift, exploring how PR professionals can adapt their strategies to navigate an AI-driven landscape while maintaining authenticity and ethical considerations.

AI Is Now the First Stop in Financial Research. Here's How Engines Decide Which Firms to Cite.

Tech PR in 2026: How to Sell AI Without Paying the Hype Tax
The AI hype cycle is in a more complicated phase than the simple "peak of inflated expectations" framework captures. Categories within AI are at very different points — foundation models with substantive deployments, applied AI products with mixed adoption results, AI-adjacent po
Never Miss a Headline
Daily PR headlines, weekly long-form analysis, and our proprietary research drops — straight to your inbox.
