| Literature DB >> 25405961 |
Abstract
As long ago as the sixteenth century, Paracelsus recognized that 'the dose makes the poison'. Indeed, environmental concentrations of pharmaceuticals excreted by humans are limited, most importantly because a defined dose is given to just a fraction of the population. By contrast, recent studies have identified direct emission from drug manufacturing as a source of much higher environmental discharges that, in some cases, greatly exceed toxic threshold concentrations. Because production is concentrated in specific locations, the risks are not linked to usage patterns. Furthermore, as the drugs are not consumed, metabolism in the human body does not reduce concentrations. The environmental risks associated with manufacturing therefore comprise a different, wider set of pharmaceuticals compared with those associated with risks from excretion. Although pollution from manufacturing is less widespread, discharges that promote the development of drug-resistant microorganisms can still have global consequences. Risk management also differs between production and excretion in terms of accountability, incentive creation, legal opportunities, substitution possibilities and costs. Herein, I review studies about industrial emissions of pharmaceuticals and the effects associated with exposure to such effluents. I contrast environmental pollution due to manufacturing with that due to excretion in terms of their risks and management and highlight some recent initiatives.Entities:
Keywords: environment; management; manufacture; pharmaceuticals; risk
Mesh:
Substances:
Year: 2014 PMID: 25405961 PMCID: PMC4213584 DOI: 10.1098/rstb.2013.0571
Source DB: PubMed Journal: Philos Trans R Soc Lond B Biol Sci ISSN: 0962-8436 Impact factor: 6.237
Studies on treated industrial effluents, waterways, river sediment, soil and groundwater where pollution with APIs from manufacturing is documented.
| country | pharmaceuticals detected | matrices/max. concentration | year | references |
|---|---|---|---|---|
| China | oxytetracycline—antibiotic | effluent: 1065 mg l−1 | 1988 | [ |
| India | salicylic acid—anti-inflammatory | effluent: 2270 mg l−1 | 1993 | [ |
| Denmark | sulfonamide antibiotics and intermediates/metabolites | groundwater: sulfaguanidine 1.6 mg l−1 | 1995 | [ |
| Germany | phenazone and metabolites | groundwater: phenazone 3.95 µg l−1 | 2002 | [ |
| Germany | phenazone and metabolites | groundwater: phenazone 2.5 µg l−1 | 2004 | [ |
| Switzerland | venlafaxine—antidepressant | surface water: 0.8 µg l−1 | 2004 | [ |
| Norway | bacitracin—antibiotic | effluent: up to 250 kg per discharge | 2005 | [ |
| China | oestrogenic sex steroids | effluent: ethinyloestradiol 51 ng l−1 | 2006 | [ |
| India | many, including fluoroquinolone antibiotics | effluent: ciprofloxacin 31 mg l−1 | 2007 | [ |
| China | oxytetracycline—antibiotic | effluent: 19.5 mg l−1 | 2008 | [ |
| China/Taiwan | many | surface water: diclofenac 27 µg l−1 | 2008 | [ |
| Croatia | sulfonamide antibiotics | effluent: sulfaguanidine more than 1.1 mg l−1 | 2008 | [ |
| China | penicillin G and its metabolites | effluent: penilloic acida 44 mg l−1 | 2008 | [ |
| China/Taiwan | sulfonamides, NSAIDs and other drugs | effluent: sulfametoxazole 1.34 mg l−1; ibuprofen 1.5 mg l−1 | 2009 | [ |
| India | many, including fluoroquinolone antibiotics | effluent: ciprofloxacin 14 mg l−1 | 2009 | [ |
| Switzerland | oseltamivir—antiviral | surface water: 160 ng l−1 | 2010 | [ |
| USA | narcotic opioids | effluent: metaxalone 3.8 mg l−1 | 2010 | [ |
| India | fluoroquinolone antibiotics | river sediment: ciprofloxacin 914 mg kg−1 organic material | 2011 | [ |
| Korea | lincomycin—antibiotic | effluent: 43.9 mg l−1 | 2011 | [ |
| Israel | venlafaxine and metabolites | effluent: venlafaxine 11.2 µg l−1 | 2012 | [ |
| Israel | carbamazepine and venlafaxine | effluent: venlafaxine 11.7 mg l−1b | 2013 | [ |
| Pakistan | several antibiotics | surface water: sulfamethoxazole 49 µg l−1 | 2013 | [ |
| India | fluoroquinolone antibiotics | groundwater: ciprofloxacin 770 ng l−1 | 2014 | [ |
| Spain | venlafaxine | effluent: 2.6 µg l−1 | 2014 | [ |
aMetabolite. Levels of penillicillin G were in the ng l−1 range.
bThe investigated effluent was not discharged directly, but sent to a local wastewater treatment facility for further treatment.
Effect studies of controlled exposure experiments using effluents from pharmaceutical manufacture (laboratory) and studies that have characterized the effects of exposure on organisms sampled from environments impacted by discharges from such factories (field). Effects related to effluent exposure on the endpoints listed were demonstrated in all studies, except the one on rats [35]. It is indicated if data on exposure concentrations to APIs are available. ‘(yes)’ refers to API analyses that are performed on final effluent from the treatment plant at another sampling occasion.
| country | organisms studied | examples of studied effects | field/laboratory | APIs analysed | year | references |
|---|---|---|---|---|---|---|
| Puerto Rico | planktonic bacteria | taxonomic composition of bacterial communities | field | no | 1981 | [ |
| Puerto Rico | marine amphipods | survival and fecundity | laboratory | no | 1983 | [ |
| Denmark | bacteria | antibiotic resistance | field | no | 1998 | [ |
| Denmark | bacteria | antibiotic resistance | field | no | 1999 | [ |
| China | fish, crustaceans | mortality, behaviour and ventilation | laboratory | no | 2002 | [ |
| China | mice | sperm development | laboratory | no | 2007 | [ |
| India | water fleas, bacteria and plants | immobility, development and bioluminescence | laboratory | yes | 2007 | [ |
| Slovenia | water fleas, bacteria | immobility and bioluminescence | laboratory | no | 2007 | [ |
| China | bacteria | taxonomy, antibiotic resistance and resistance gene abundance | field | yes | 2009 | [ |
| India | fish | gene expression, blood chemistry and enzyme activities | laboratory | yes | 2009 | [ |
| India | frogs, fish | growth, malformations, development, behaviour and survival | laboratory | yes | 2009 | [ |
| China | bacteria | antibiotic resistance and resistance gene abundance | field | yes | 2010 | [ |
| France | fish | plasma vitellogenin and intersex | field | no | 2010 | [ |
| China | bacteria | antibiotic resistance and taxonomy | field | yes | 2011 | [ |
| India | microbial communities | antibiotic resistance gene abundance and taxonomy | field | yes | 2011 | [ |
| India | fish | protein expression and enzyme activities | laboratory | yes | 2013 | [ |
| India | bacteria | antibiotic resistance and bacterial genetics | field | (yes) | 2013 | [ |
| India | rats | gene expression, blood chemistry and weight gain | laboratory | yes | 2013 | [ |
| India | bacteria | antibiotic resistance and bacterial genetics | field | (yes) | 2013 | [ |
| Pakistan | bacteria | antibiotic resistance gene abundance | field | yes | 2013 | [ |
| India | bacteria | antibiotic resistance gene abundance | field | yes | 2014 | [ |