Account

Sign in to access your account and subscription

Online Pharmacy Ordered to Pay FTC $15.8 Million

Saying they 'dispensed deception,' a federal judge in Atlanta has ordered the founders and operators of a now-defunct online pharmacy business to pay the FTC $15.8 million for fraudulent claims associated with the drugs they peddled. In his order, issued June 4, U.S. District Judge Charles A. Pannell also found Dr. Terrill Mark Wright, a physician associated with the online pharmacies, liable for $15.4 million to compensate consumers for false advertising claims.

25 minute read June 26, 2008 at 11:54 AM
By
R. Robin McDonald
Online Pharmacy Ordered to Pay FTC $15.8 Million

Saying they 'dispensed deception,' a federal judge in Atlanta has ordered the founders and operators of a now-defunct online pharmacy business to pay the U.S. Federal Trade Commission ('FTC') $15.8 million for fraudulent claims associated with the drugs they peddled.

This premium content is locked for LawJournalNewsletters subscribers only

ENJOY UNLIMITED ACCESS TO THE SINGLE SOURCE OF OBJECTIVE LEGAL ANALYSIS, PRACTICAL INSIGHTS, AND NEWS IN LawJournalNewsletters

  • Stay current on the latest information, rulings, regulations, and trends
  • Includes practical, must-have information on copyrights, royalties, AI, and more
  • Tap into expert guidance from top entertainment lawyers and experts

Already have an account? Sign In Now

For enterprise-wide or corporate access, please contact Customer Service at [email protected] or call 1-877-256-2473.

NOT FOR REPRINT

© 2026 ALM Global, LLC, All Rights Reserved. Request academic re-use from www.copyright.com. All other uses, submit a request to [email protected]. For more information visit Asset & Logo Licensing.

Continue Reading

Adverse Possessor Provided Insufficient Evidence to Support TackingTown’s Installation of Guardrails Did Not Constitute a TakingMortgagee Entitled to Deficiency JudgmentLandowner Adequately Alleged Trespass During Renovation

August 13, 2026

Agentic AI introduces risks that are novel and complex, but the most effective response is a familiar one. Zero Trust answers the problem of when an AI agent misfires on its own by constraining what an agent can do rather than betting on how it will behave.

August 01, 2026