Product Images Sertraline Hydrochloride

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Product Label Images

The following 4 images provide visual information about the product associated with Sertraline Hydrochloride NDC 53808-0587 by State Of Florida Doh Central Pharmacy, 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.

25mg 30 Tablets Label - Sertraline 25mg(Camber)

25mg 30 Tablets Label - Sertraline 25mg(Camber)

This is medication information for Sertraline HCL, a prescription medication used to treat depression, anxiety, and certain other mental health conditions. The specific dosage is 2mg and the lot number is 10908569. The medication was packaged by DOH Central Pharmacy in Tallahassee, Florida and the manufacturer lot number is 121020660 with an expiry date of EXP0B3010. There is an additional code IPCH 331722212304 present which may be related to the manufacturer.*

50mg 30 Tablets Label - Sertraline 50mg(Camber)

50mg 30 Tablets Label - Sertraline 50mg(Camber)

This is a prescription medication called Sertraline HCL, in tablet form. Each tablet contains 50 milligrams (mg) of the active ingredient. The lot number is 2182010 and the medication was packaged by DOH Central Pharmacy in Tallahassee, FL. The UPC number is 331722213059. There is also some unreadable text.*

100mg 30 Tablets Label - Sertraline100mg(Camber)

100mg 30 Tablets Label - Sertraline100mg(Camber)

This is a prescription drug called Sertraline. It comes in 100mg tablets and the lot number is 05096048. The manufacturer code is C2zz20104. The drug was packaged by the Central Pharmacy in Tallahassee, Florida and the UPC number is 31436360088. The purpose of the drug is not provided in this text.*

Chemical Structure - sertraline hydrochloride tablets 1

Chemical Structure - sertraline hydrochloride tablets 1

* 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.