Product Images Claravis
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 16 images provide visual information about the product associated with Claravis NDC 54868-6308 by Physicians Total Care, Inc., such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.
This is a medication called Claravis distributed by Physicians Total Care in a bottle containing 30 capsules. The dosage is 36 kg and the lot number is "ba000" with an expiration date of 61/60. The manufacturer is "WGORY NRR Laboratories" and their contact address is PO Box 1097.*
This is a medication package of Claravis, with a strength of 264g and containing 30 capsules. It was distributed by Physicians Total Care with product code DC S4BGB-6367-8. The lot number of the product is 6000 and the expiration date is 01/50.*
Claravis is a medication available in the form of capsules called Sotretinon Capsules in the United States. The shown text also mentions a 20 mg dosage but does not provide any further information.*
Claravis is a medication that comes in the form of capsules containing sotretinoin that is used in the treatment of severe acne.*
This text seems to be a list of medication, specifically mentioning Claravis which is associated with isotretinoin capsules in the USP (United States Pharmacopeia) system.*
This text appears to be a mixture of product descriptions and various information related to a medication called Claravis. Each capsule of Claravis contains 40 mg of isotretinoin, which is commonly prescribed for the treatment of acne. The text includes details about a prescription blister pack, but there is not enough information to determine the specific contents or instructions. Additionally, there are some unclear characters and words that were not successfully recognized by the software, making it difficult to interpret the text fully.*
* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.