Hank Schultz

Senior Editor

Preston's Summary

Hank Schultz is a Senior Editor for Natural Products Insider, specializing in supplements and food journalism. With a passion for cycling and a love for steep mountains, Hank brings a unique perspective to his writing. He covers a wide range of topics including contract manufacturing, FDA warnings, industry conflicts, and groundbreaking studies in the dietary supplement field.

Preston is the artificial intelligence that powers the Intelligent Relations PR platform. Meet Preston

Geo Focus

United States (National)

Coverage Attributes:

Beta
Cites Data: 39 %
Government Announcement: 20 %
Legal Policy Regulation: 15 %
Press Release: 14 %
Private Sector Announcements: 2 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Consumer Health
  • FDA
  • Cannabidiol (CBD)
  • Food Safety
  • Cannabis Business

Pitching Insights

Hank Schultz focuses predominantly on the healthcare and pharmaceutical industry, particularly in relation to FDA regulations, manufacturing, dietary supplements, and supply chain. His coverage often includes citing data, government announcements, legal policy regulation and press releases.

When reaching out to Hank Schultz, consider providing insights backed by credible data or referencing official government announcements related to FDA regulations or other healthcare policies. Additionally, he may be interested in expert commentary from professionals with a deep understanding of the intricacies of the healthcare industry's regulatory landscape.

Given his focus on health and wellness topics like dietary supplements and supply chain issues within this sector, experts who can provide valuable insights into these areas would likely capture Hank's attention. Although no specific geographic focus is indicated for him so far based on provided information about his work attributes.

This information evolves through artificial intelligence and human feedback. Improve this profile .

Journalists With Similar Coverage:

Based on similarity of content.