Product Images Synthroid

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 4 images provide visual information about the product associated with Synthroid NDC 66336-342 by Dispensing Solutions, 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.

NDC 66336-0340-XX - NDC 66336 0340 XX ABBOTT

NDC 66336-0340-XX - NDC 66336 0340 XX             ABBOTT

NDC 66336-0341-XX - NDC 66336 0341 XX ABBOTT

NDC 66336-0341-XX - NDC 66336 0341 XX             ABBOTT

This is a description of a medication called Synthroid, manufactured by Abbott Laboratories in North Chicago, IL, USA. The medication is in the form of violet round scored tablets with the imprint 'SYNTHROID / 76'. The tablets contain Levothyroxine Sodium USP, which should be taken orally once a day at a dose of 75 mcg (0.075mg) as directed by a doctor. The medication may cause side effects such as headache, nervousness, insomnia, or partial hair loss. The batch number indicated on the label is 'SAMPLE EXP:00-00 Rx# 27032956'.*

NDC 66336-0342-XX - NDC 66336 0342 XX ABBOTT

NDC 66336-0342-XX - NDC 66336 0342 XX             ABBOTT

This is a label from a package of Synthroid 88mcg tablets manufactured by Abbott Laboratories. The package contains XX tablets and has an NDC code of 66336-0342-XX. The tablets are round, scored and imprinted with "SYNTHROID" and "88". The tablets contain Levothyroxine, which is used to replace or supplement the hormone made by the thyroid gland to treat hypothyroidism. The label includes dosage instructions and cautions about using the medication. The package should be stored at 77°F, protected from light and kept out of reach of children. The manufacturer's lot number is not readable.*

Chemical structure for Levothyroxine. - synthroid structure

Chemical structure for Levothyroxine. - synthroid 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.