Ortho Tri Cyclen Lo
Product Images NDC 54868-4730
View Photos of Packaging, Regulatory Labels, and Product Appearance
Product Visual Gallery
This gallery contains 5 technical images submitted to the FDA as part of the official labeling for Ortho Tri Cyclen Lo (NDC 54868-4730). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.
As provided by Physicians Total Care, Inc., these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.
Chemical Structure (Ortho Tri Cyclen 02)
Figure 1 (Ortho Tri Cyclen 03)
Dialpak® Instructions (Ortho Tri Cyclen 04)
This text is a set of instructions for using Dialpak® Tablet Dispenser for birth control pills. It explains two ways to start taking the pills (Sunday start or day 1 start), how to set the day on the dispenser using the dial, how to take pills every day at the same time, and how to replace the empty refill with the new one. It also provides guidance to start using these pills for the first time and what to do if someone has not taken birth control pills for ten days or more. The first pill needs to be taken on the same day of every week regardless of the day of the next period. If someone missed taking pills for seven days or more, they should use a backup method of birth control for the first seven days after restarting the pills. Overall, this text is focused on the proper usage and management of birth control pills for effective contraception.*
Image Of Package Label (Package Label)
This is a description for a medication called Ortho Tri-Cyclen Lo, distributed by Physicians Total Care and identified by the NDC code S4858-4730-0. The medication comes in a box with white pills ("LO") and a dark green pill ("T"). The dosage and specific details regarding the usage of the medication are not available from this text.*
* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.