Product Images Liomny
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 4 images provide visual information about the product associated with Liomny NDC 42794-133 by Sigmapharm Laboratories, Llc, 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.
25 mcg-90 - 25mcg
This is a description of LIOMNY™ (liothyronine sodium tablets, USP), a medication indicated for use under the guidance of a healthcare professional. Each tablet contains 25 mcg of liothyronine sodium. It is recommended to store between 15°C and 30°C and dispense in a tight container with a safety closure unless directed otherwise by a physician. The manufacturer is Sigmapharm Laboratories located in Bensalem, PA 19020.*
50 mcg-90 - 50mcg
This is a description for a medication named "Liothyronine Sodium tablets, USP". Each tablet contains Liothyronine Sodium equivalent to 50 mcg of Liothyronine. It comes in a pack of 30 tablets. The prescribing information for dosage is given separately. It should be stored between 15°C and 30°C (59°F and 86°F) in a tight container. A safety closure should be used when dispensing the product unless directed otherwise by a physician or requested by the purchaser. The product is manufactured by Sigmapharm Laboratories, LLC in Bensalem, PA 19020.*
5 mcg-90 - 5mcg
This text provides information about a medication containing Liothyronine Sodium in tablet form. It specifies the dosage equivalent to 5 mcg of Liothyronine. The storage instructions advise keeping the tablets between 15°C and 30°C (59°F and 86°F). It includes a reminder for pharmacists to maintain safety measures when dispensing the product and emphasizes that it should only be used as directed by a physician. The text also indicates that the product is available in a pack of 30 tablets.*
image description - structure
* 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.
