Product Images Levothyroxine Sodium
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 4 images provide visual information about the product associated with Levothyroxine Sodium NDC 68788-7943 by Preferred Pharmaceuticals 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.
83854522 f22e 491f 8392 c8b1f9441760 00
This is a medication description for Levothyroxine Sodium Tablets, USP 125mcg (0.125mg), which is a generic version of Synthroid. It is manufactured by Accord Healthcare, Inc in Durham, NC. The label includes cautionary information indicating that the drug is intended for the patient only and should not be transferred or given to others. There are instructions provided in both English and Spanish for taking the tablets. Lot and batch information is also listed.*
83854522 f22e 491f 8392 c8b1f9441760 01
Levothyroxine Sodium Tablets, USP 112mcg (0.112mg) are generic for Synthroid and are prescribed for patients only. It is prohibited by federal law to transfer this drug to anyone other than the patient it was prescribed for. This particular label is for a batch of tablets from Accord Healthcare, Inc. with an expiration date and lot number provided.*
Levothyroxine Sodium Tab. USP 88mcg (0.88mg) - levothyroxine 88 mcg 90 tab
Generic for Synthroid Levothyroxine Sodium Tab. USP with a strength of 88mcg (0.088mg) is available in a package size, however, the expiration date is not provided. The medication is a prescription drug and should be taken only by the person for whom it was prescribed. Federal law prohibits the distribution of Levothyroxine to any person other than the patient. The manufacturer of the medication is Accord Healthcare, Inc. based in Durham, and the product code is listed as NDC, however, there is no clarity on what it stands for.*
description - levothyroxine str
* 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.